Track learning-rate and parameter-matched row-level outputs

Pulled from the original experiment machine. These are the authoritative
source rows behind the Appendix H tables (regime_summary matches the
paper values; the depth-3 compensated gap rounds to 0.16262).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

8 files changed, 1387 insertions, 0 deletions

diff --git a/outputs/learning_rate_compensation/evaluation_rows.csv b/outputs/learning_rate_compensation/evaluation_rows.csv
new file mode 100644
index 0000000..6a54e18
--- /dev/null
+++ b/outputs/learning_rate_compensation/evaluation_rows.csv
@@ -0,0 +1,721 @@
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+2,64,10002,102002,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.1523086649576166,0.0593913559898569,True

+2,64,10002,102002,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.8449877014539862,0.7624022725946044,True

+2,64,10002,102003,same_lr,200,0.001,0.001,0.7086611475662186,3.088302178807924,2.0929173089677597,2.308304927854561,0.21538761888680114,True

+2,64,10002,102003,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.179532591234265,0.08661528226650539,True

+2,64,10002,102003,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.813815383538883,0.7312299546795012,True

+2,64,10002,102004,same_lr,200,0.001,0.001,0.7086611475662186,3.088302178807924,2.0929173089677597,2.260370453419883,0.16745314445212323,True

+2,64,10002,102004,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.117510340823203,0.02459303185544348,True

+2,64,10002,102004,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.8105952854606404,0.7280098566012586,True

+2,64,10002,102005,same_lr,200,0.001,0.001,0.7086611475662186,3.088302178807924,2.0929173089677597,2.312967236668767,0.22004992770100706,True

+2,64,10002,102005,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.1726959770456524,0.07977866807789269,True

+2,64,10002,102005,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.7805070445611779,0.6979216157017961,True

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+2,64,10002,102006,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.193341562087933,0.10042425312017311,True

+2,64,10002,102006,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.8564873772654393,0.7739019484060575,True

+2,64,10002,102007,same_lr,200,0.001,0.001,0.7086611475662186,3.088302178807924,2.0929173089677597,2.332972873305243,0.24005556433748332,True

+2,64,10002,102007,initial_compensation,200,0.001,0.0014111116482600145,0.7086611475662186,3.088302178807924,2.0929173089677597,2.1942290210668802,0.10131171209912049,True

+2,64,10002,102007,independently_tuned,200,0.128,0.032,0.7086611475662186,3.088302178807924,0.08258542885938183,0.7446295958499239,0.6620441669905421,True

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+2,64,10003,103000,independently_tuned,200,0.128,0.032,0.7746618902135941,3.0802701567825457,0.4234537080830438,0.8226499087652155,0.3991962006821717,True

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+2,64,10003,103001,independently_tuned,200,0.128,0.032,0.7746618902135941,3.0802701567825457,0.4234537080830438,0.8974310972475958,0.47397738916455207,True

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+2,64,10003,103007,independently_tuned,200,0.128,0.032,0.7746618902135941,3.0802701567825457,0.4234537080830438,0.8101620993475861,0.3867083912645423,True

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+2,64,10004,104000,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.8158993867994158,0.6814056108113464,True

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+2,64,10004,104001,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.1762001309811425,0.1446974203640874,True

+2,64,10004,104001,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.8057030571731085,0.6712092811850392,True

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+2,64,10004,104002,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.16726171364608,0.13575900302902477,True

+2,64,10004,104002,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.7861572871985729,0.6516635112105036,True

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+2,64,10004,104003,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.1411541793977666,0.10965146878071153,True

+2,64,10004,104003,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.773844076988261,0.6393503010001915,True

+2,64,10004,104004,same_lr,200,0.001,0.001,0.8310263564483694,4.439131788371505,2.031502710617055,2.229752663489389,0.19824995287233405,True

+2,64,10004,104004,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.150496592938781,0.11899388232172603,True

+2,64,10004,104004,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.7980766168569382,0.6635828408688689,True

+2,64,10004,104005,same_lr,200,0.001,0.001,0.8310263564483694,4.439131788371505,2.031502710617055,2.1991787644915366,0.16767605387448148,True

+2,64,10004,104005,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.122435974899574,0.09093326428251869,True

+2,64,10004,104005,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.7918602975046454,0.657366521516576,True

+2,64,10004,104006,same_lr,200,0.001,0.001,0.8310263564483694,4.439131788371505,2.031502710617055,2.2458246689954895,0.21432195837843437,True

+2,64,10004,104006,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.173742092552112,0.14223938193505692,True

+2,64,10004,104006,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.8101377358836217,0.6756439598955524,True

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+2,64,10004,104007,initial_compensation,200,0.001,0.0012033312689067868,0.8310263564483694,4.439131788371505,2.031502710617055,2.1308486894992704,0.0993459788822153,True

+2,64,10004,104007,independently_tuned,200,0.128,0.032,0.8310263564483694,4.439131788371505,0.1344937759880694,0.8046553307418114,0.6701615547537421,True

+2,64,10005,105000,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1243294268366304,0.1437622102198064,True

+2,64,10005,105000,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.0252594905205594,0.044692273903735424,True

+2,64,10005,105000,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.7260538278249795,0.6494032187412976,True

+2,64,10005,105001,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1401618344999234,0.15959461788309937,True

+2,64,10005,105001,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.04354939008717,0.06298217347034618,True

+2,64,10005,105001,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.7343379570075603,0.6576873479238784,True

+2,64,10005,105002,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1607677516468664,0.1802005350300424,True

+2,64,10005,105002,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.0656743020544224,0.08510708543759837,True

+2,64,10005,105002,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.7958346591930964,0.7191840501094144,True

+2,64,10005,105003,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1483338989507157,0.1677666823338917,True

+2,64,10005,105003,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.047595755197621,0.06702853858079716,True

+2,64,10005,105003,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.8089261997516226,0.7322755906679407,True

+2,64,10005,105004,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1503511338835324,0.16978391726670838,True

+2,64,10005,105004,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.0552389151456203,0.0746716985287963,True

+2,64,10005,105004,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.7618846343394914,0.6852340252558095,True

+2,64,10005,105005,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1169261840800937,0.1363589674632697,True

+2,64,10005,105005,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.021985374316232,0.041418157699408154,True

+2,64,10005,105005,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.6749142813102849,0.5982636722266029,True

+2,64,10005,105006,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.166305104686357,0.18573788806953284,True

+2,64,10005,105006,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.0698402215500074,0.08927300493318335,True

+2,64,10005,105006,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.8015984121096578,0.7249478030259758,True

+2,64,10005,105007,same_lr,200,0.001,0.001,0.7591716399795446,2.9050912247475127,1.980567216616824,2.1325569590981512,0.15198974248132724,True

+2,64,10005,105007,initial_compensation,200,0.001,0.0013172251798380461,0.7591716399795446,2.9050912247475127,1.980567216616824,2.0391064545446977,0.058539237927873744,True

+2,64,10005,105007,independently_tuned,200,0.128,0.032,0.7591716399795446,2.9050912247475127,0.07665060908368193,0.6796626723226359,0.603012063238954,True

+3,64,10000,100000,same_lr,200,0.001,0.001,0.5784302107712843,3.8487678819294517,1.8582048645478912,2.037319167385659,0.17911430283776797,True

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+3,64,10000,100000,independently_tuned,200,0.064,0.016,0.5784302107712843,3.8487678819294517,0.06476524200580427,1.2062929751916087,1.1415277331858045,True

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+3,64,10000,100001,initial_compensation,200,0.001,0.0017288170316460314,0.5784302107712843,3.8487678819294517,1.8582048645478912,1.9309548932320952,0.072750028684204,True

+3,64,10000,100001,independently_tuned,200,0.064,0.016,0.5784302107712843,3.8487678819294517,0.06476524200580427,1.2549653241092464,1.1902000821034422,True

+3,64,10000,100002,same_lr,200,0.001,0.001,0.5784302107712843,3.8487678819294517,1.8582048645478912,2.055329565914452,0.1971247013665609,True

+3,64,10000,100002,initial_compensation,200,0.001,0.0017288170316460314,0.5784302107712843,3.8487678819294517,1.8582048645478912,1.9434898206283295,0.08528495608043829,True

+3,64,10000,100002,independently_tuned,200,0.064,0.016,0.5784302107712843,3.8487678819294517,0.06476524200580427,1.382541956999928,1.3177767149941237,True

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+6,64,10000,100007,independently_tuned,200,0.064,0.004,0.41479037777747446,3.7036615702360187,0.06411968513352373,1.837004197807762,1.7728845126742383,True

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+6,64,10001,101000,initial_compensation,200,0.001,0.003439417080650694,0.29074694244723953,3.5522149059756316,1.6314772552177617,1.8353926419769693,0.20391538675920762,True

+6,64,10001,101000,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.8255789136495153,1.7640249065645657,True

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+6,64,10001,101001,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.7995564884417687,1.7380024813568191,True

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+6,64,10001,101002,initial_compensation,200,0.001,0.003439417080650694,0.29074694244723953,3.5522149059756316,1.6314772552177617,1.7854837481202628,0.15400649290250112,True

+6,64,10001,101002,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.7719184134082029,1.7103644063232533,True

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+6,64,10001,101003,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.8074061725007442,1.7458521654157946,True

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+6,64,10001,101004,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.7895186890277168,1.7279646819427672,True

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+6,64,10001,101005,independently_tuned,200,0.064,0.004,0.29074694244723953,3.5522149059756316,0.061554007084949576,1.8009490013903335,1.739394994305384,True

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+6,64,10002,102000,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.901311580395705,1.884581196974219,True

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+6,64,10002,102001,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.910519263204818,0.328577962288948,True

+6,64,10002,102001,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.825134934078195,1.808404550656709,True

+6,64,10002,102002,same_lr,200,0.001,0.001,0.33957197085232643,2.1244323191268824,1.58194130091587,1.9602495951460615,0.3783082942301914,True

+6,64,10002,102002,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.9204464969487232,0.3385051960328531,True

+6,64,10002,102002,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.8949515350186235,1.8782211515971374,True

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+6,64,10002,102003,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.9755325347705828,0.39359123385471273,True

+6,64,10002,102003,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.9388490823629256,1.9221186989414396,True

+6,64,10002,102004,same_lr,200,0.001,0.001,0.33957197085232643,2.1244323191268824,1.58194130091587,1.9116466944269908,0.3297053935111207,True

+6,64,10002,102004,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.8439143831823575,0.2619730822664874,True

+6,64,10002,102004,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.8227865119013469,1.8060561284798609,True

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+6,64,10002,102005,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.8823792493642844,1.8656488659427983,True

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+6,64,10002,102006,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.8984972985988755,0.31655599768300546,True

+6,64,10002,102006,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.8388471270459343,1.8221167436244483,True

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+6,64,10002,102007,initial_compensation,200,0.001,0.0029448838120825984,0.33957197085232643,2.1244323191268824,1.58194130091587,1.8158370094644503,0.23389570854858022,True

+6,64,10002,102007,independently_tuned,200,0.064,0.004,0.33957197085232643,2.1244323191268824,0.016730383421486045,1.7960700445146442,1.7793396610931582,True

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+6,64,10003,103000,independently_tuned,200,0.064,0.004,0.5165286224183064,4.576697316957738,0.17951013631652313,1.8470641699974684,1.6675540336809451,True

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+6,64,10003,103001,initial_compensation,200,0.001,0.0019360011364291025,0.5165286224183064,4.576697316957738,1.6014149440865544,2.0408496675804355,0.43943472349388113,True

+6,64,10003,103001,independently_tuned,200,0.064,0.004,0.5165286224183064,4.576697316957738,0.17951013631652313,1.876474473261848,1.696964336945325,True

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+6,64,10003,103002,initial_compensation,200,0.001,0.0019360011364291025,0.5165286224183064,4.576697316957738,1.6014149440865544,1.944534033357944,0.34311908927138957,True

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+6,64,10003,103003,initial_compensation,200,0.001,0.0019360011364291025,0.5165286224183064,4.576697316957738,1.6014149440865544,1.950435542226139,0.34902059813958464,True

+6,64,10003,103003,independently_tuned,200,0.064,0.004,0.5165286224183064,4.576697316957738,0.17951013631652313,1.8287220901969432,1.6492119538804202,True

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+6,64,10003,103004,initial_compensation,200,0.001,0.0019360011364291025,0.5165286224183064,4.576697316957738,1.6014149440865544,1.9779167147041212,0.37650177061756684,True

+6,64,10003,103004,independently_tuned,200,0.064,0.004,0.5165286224183064,4.576697316957738,0.17951013631652313,1.8093936401031785,1.6298835037866555,True

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+6,64,10003,103005,independently_tuned,200,0.064,0.004,0.5165286224183064,4.576697316957738,0.17951013631652313,1.8529997669535379,1.6734896306370146,True

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+6,64,10004,104001,same_lr,200,0.001,0.001,0.4081636367545231,3.383998303267787,1.6657144750414266,2.1931355720461574,0.5274210970047308,True

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+6,64,10004,104005,independently_tuned,200,0.064,0.004,0.4081636367545231,3.383998303267787,0.13628889806694602,1.8931395148842762,1.7568506168173301,True

+6,64,10004,104006,same_lr,200,0.001,0.001,0.4081636367545231,3.383998303267787,1.6657144750414266,2.188096789874387,0.5223823148329605,True

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+6,64,10004,104006,independently_tuned,200,0.064,0.004,0.4081636367545231,3.383998303267787,0.13628889806694602,1.846897165866795,1.7106082677998489,True

+6,64,10004,104007,same_lr,200,0.001,0.001,0.4081636367545231,3.383998303267787,1.6657144750414266,2.2352698535509825,0.569555378509556,True

+6,64,10004,104007,initial_compensation,200,0.001,0.002449997770383004,0.4081636367545231,3.383998303267787,1.6657144750414266,2.0130128901505966,0.34729841510917003,True

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+6,64,10005,105000,same_lr,200,0.001,0.001,0.42338923271811607,3.4145046639544097,1.6543753500460618,2.0252977231347087,0.37092237308864684,True

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+6,64,10005,105006,initial_compensation,200,0.001,0.0023618928464007012,0.42338923271811607,3.4145046639544097,1.6543753500460618,1.969370659758011,0.3149953097119491,True

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+6,64,10005,105007,same_lr,200,0.001,0.001,0.42338923271811607,3.4145046639544097,1.6543753500460618,2.1682784927195655,0.5139031426735037,True

+6,64,10005,105007,initial_compensation,200,0.001,0.0023618928464007012,0.42338923271811607,3.4145046639544097,1.6543753500460618,1.9955767261812947,0.3412013761352328,True

+6,64,10005,105007,independently_tuned,200,0.064,0.004,0.42338923271811607,3.4145046639544097,0.04302927086384654,1.8571099252802457,1.8140806544163992,True

diff --git a/outputs/learning_rate_compensation/regime_summary.csv b/outputs/learning_rate_compensation/regime_summary.csv
new file mode 100644
index 0000000..12d8446
--- /dev/null
+++ b/outputs/learning_rate_compensation/regime_summary.csv
@@ -0,0 +1,16 @@
+depth,regime,rows,stable_rows,bp_lr,fa_lr_mean,rho_mean,bp_loss_mean,fa_loss_mean,gap_mean,gap_std,gap_sem

+1,same_lr,48,48,0.001,0.001,0.9610069350407984,2.1666989888152424,2.2257618018338,0.059062813018558,0.009435428579739853,0.00385199758747267

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+2,initial_compensation,48,48,0.001,0.0013168083270719375,0.7612398883286953,2.0219677440519996,2.119259691680273,0.09729194762827353,0.02543136611942341,0.010382311742415214

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+3,same_lr,48,48,0.001,0.001,0.6295068544264688,1.847377871664352,2.1208343429545216,0.2734564712901692,0.06428969293109411,0.026246157233565874

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+4,same_lr,48,48,0.001,0.001,0.5314180794284439,1.7554493999414322,2.048847847137616,0.2933984471961841,0.05201060249040933,0.021233239552705147

+4,initial_compensation,48,48,0.001,0.0019168307305947902,0.5314180794284439,1.7554493999414322,1.9398655534801694,0.18441615353873775,0.04066007177452844,0.016599404792089205

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+6,same_lr,48,48,0.001,0.001,0.39886513049466427,1.6381389737072565,2.044780538842934,0.40664156513567756,0.09378365477021289,0.03828701673339253

+6,initial_compensation,48,48,0.001,0.002590508159488245,0.39886513049466427,1.6381389737072565,1.9266386829320636,0.28849970922480717,0.06681916348673785,0.027278809263686105

+6,independently_tuned,48,48,0.064,0.004,0.39886513049466427,0.08353873014787917,1.840925633337892,1.757386903190013,0.06337128253452119,0.02587121775922074

diff --git a/outputs/learning_rate_compensation/summary.json b/outputs/learning_rate_compensation/summary.json
new file mode 100644
index 0000000..63be9d0
--- /dev/null
+++ b/outputs/learning_rate_compensation/summary.json
@@ -0,0 +1,275 @@
+{
+  "config": {
+    "depths": [
+      1,
+      2,
+      3,
+      4,
+      6
+    ],
+    "width": 64,
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+    "feedback_scale": "relu",
+    "stability_factor": 10.0,
+    "torch_threads": 16,
+    "outdir": "outputs/learning_rate_compensation"
+  },
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+      "gap_sem": 0.027278809263686105
+    },
+    {
+      "depth": 6,
+      "regime": "independently_tuned",
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+      "gap_std": 0.06337128253452119,
+      "gap_sem": 0.02587121775922074
+    }
+  ],
+  "uncertainty": "SEM and SD are computed across forward-initialization means."
+}
diff --git a/outputs/learning_rate_compensation/tuning_rows.csv b/outputs/learning_rate_compensation/tuning_rows.csv
new file mode 100644
index 0000000..78deb9f
--- /dev/null
+++ b/outputs/learning_rate_compensation/tuning_rows.csv
@@ -0,0 +1,111 @@
+depth,rule,lr,trials,stable_trials,mean_final_loss,median_final_loss

+1,BP,0.00025,4,4,3.002349526471135,2.9762134799324538

+1,BP,0.0005,4,4,2.6567091599758648,2.623448778429661

+1,BP,0.001,4,4,2.2818660122585372,2.289624884601797

+1,BP,0.002,4,4,1.9255545233366025,1.9234216972832363

+1,BP,0.004,4,4,1.6575422580157126,1.6479781361713672

+1,BP,0.008,4,4,1.4481661784570838,1.4420236901404837

+1,BP,0.016,4,4,1.2317471146507288,1.2297908755600153

+1,BP,0.032,4,4,0.9619807705493034,0.9552334287621573

+1,BP,0.064,4,4,0.6214410617227575,0.6208793042572307

+1,BP,0.128,4,4,0.30742074195547364,0.3004243551822984

+1,BP,0.256,4,0,inf,inf

+1,FA,0.00025,16,16,3.042837956305016,3.0208457184170445

+1,FA,0.0005,16,16,2.713456913311785,2.6747805626631544

+1,FA,0.001,16,16,2.3485304645006915,2.3518345561075114

+1,FA,0.002,16,16,1.9899670008705708,1.9908909818886142

+1,FA,0.004,16,16,1.7214507828579084,1.713252156906619

+1,FA,0.008,16,16,1.5281324808188774,1.5221788091791026

+1,FA,0.016,16,16,1.3455563044964447,1.346241713671136

+1,FA,0.032,16,16,1.1326268560114385,1.1391470525871423

+1,FA,0.064,16,16,0.8549373991400672,0.8541691558869176

+1,FA,0.128,16,0,inf,inf

+1,FA,0.256,16,0,inf,inf

+2,BP,0.00025,4,4,2.4647509601989928,2.391706860995122

+2,BP,0.0005,4,4,2.2453083920417916,2.1866801568204264

+2,BP,0.001,4,4,1.9935030658429749,1.9473585704410135

+2,BP,0.002,4,4,1.7339364819430836,1.7124003890699135

+2,BP,0.004,4,4,1.48327857424105,1.4902978449342785

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diff --git a/outputs/parameter_matched_depth_control/parameter_matched_metrics.csv b/outputs/parameter_matched_depth_control/parameter_matched_metrics.csv
new file mode 100644
index 0000000..7478417
--- /dev/null
+++ b/outputs/parameter_matched_depth_control/parameter_matched_metrics.csv
@@ -0,0 +1,16 @@
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diff --git a/outputs/parameter_matched_depth_control/parameter_matched_rows.csv b/outputs/parameter_matched_depth_control/parameter_matched_rows.csv
new file mode 100644
index 0000000..7b8f6d8
--- /dev/null
+++ b/outputs/parameter_matched_depth_control/parameter_matched_rows.csv
@@ -0,0 +1,161 @@
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diff --git a/outputs/parameter_matched_depth_control/parameter_matched_summary.csv b/outputs/parameter_matched_depth_control/parameter_matched_summary.csv
new file mode 100644
index 0000000..3bc3e08
--- /dev/null
+++ b/outputs/parameter_matched_depth_control/parameter_matched_summary.csv
@@ -0,0 +1,6 @@
+depth,width,parameter_count,parameter_count_error,rows,empirical_gap_mean,empirical_gap_sem

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+4,39,5343,-33,32,0.3759898486718967,0.08952657011258613

+6,31,5425,49,32,0.21024145069120792,0.029533408014583252

diff --git a/outputs/parameter_matched_depth_control/summary.json b/outputs/parameter_matched_depth_control/summary.json
new file mode 100644
index 0000000..49d6503
--- /dev/null
+++ b/outputs/parameter_matched_depth_control/summary.json
@@ -0,0 +1,81 @@
+{
+  "config": {
+    "depths": [
+      1,
+      2,
+      3,
+      4,
+      6
+    ],
+    "reference_depth": 2,
+    "reference_width": 64,
+    "input_dim": 16,
+    "output_dim": 4,
+    "train_samples": 64,
+    "data_seed": 2027,
+    "init_seeds": 4,
+    "feedback_seeds": 8,
+    "lr": 0.001,
+    "horizon": 50,
+    "early_step": 20,
+    "feedback_scale": "relu",
+    "torch_threads": 16,
+    "outdir": "outputs/parameter_matched_depth_control"
+  },
+  "target_parameter_count": 5376,
+  "widths": {
+    "1": 269,
+    "2": 64,
+    "3": 47,
+    "4": 39,
+    "6": 31
+  },
+  "rows": 160,
+  "summary": [
+    {
+      "depth": 1,
+      "width": 269,
+      "parameter_count": 5380,
+      "parameter_count_error": 4,
+      "rows": 32,
+      "empirical_gap_mean": 0.026953786074590577,
+      "empirical_gap_sem": 0.0022553504520306977
+    },
+    {
+      "depth": 2,
+      "width": 64,
+      "parameter_count": 5376,
+      "parameter_count_error": 0,
+      "rows": 32,
+      "empirical_gap_mean": 0.15269740556020456,
+      "empirical_gap_sem": 0.008216419464559012
+    },
+    {
+      "depth": 3,
+      "width": 47,
+      "parameter_count": 5358,
+      "parameter_count_error": -18,
+      "rows": 32,
+      "empirical_gap_mean": 0.18856967743462033,
+      "empirical_gap_sem": 0.018802584522977586
+    },
+    {
+      "depth": 4,
+      "width": 39,
+      "parameter_count": 5343,
+      "parameter_count_error": -33,
+      "rows": 32,
+      "empirical_gap_mean": 0.3759898486718967,
+      "empirical_gap_sem": 0.08952657011258613
+    },
+    {
+      "depth": 6,
+      "width": 31,
+      "parameter_count": 5425,
+      "parameter_count_error": 49,
+      "rows": 32,
+      "empirical_gap_mean": 0.21024145069120792,
+      "empirical_gap_sem": 0.029533408014583252
+    }
+  ]
+}