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Paper Citation Record · LEDGER

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.21622.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.21622 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:55:50.367156Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93749ced-9e71-4919-ae0c-a6fb6e3650e5 · outbound

This paper cites Aizenbud, D.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Aizenbud, D

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T08:55:50.239066Z digest=sha256:5c10c5161769c8a4775e9e8cb869b02980afed80f1a53f93c16cc2f2b4f86093

Observation 1ee9ad01-f26e-430d-b4d8-dcdf25ca10e7 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T08:55:50.248972Z digest=sha256:e0ebd7fbfd39bac704dee0558a751fcd65d0703c718faf8f4aef8e9d4412f2d1

Observation 60433fb8-e824-410f-900c-df77b5c26f51 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.253241Z digest=sha256:7bcf8173f06a337a3495de65073cd3602587b177515a1f9e7f81f13009f017a2

Observation 98c09713-624f-451f-a8a5-d300d11b9b6b · outbound

This paper cites Balestriero and Y.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Balestriero and Y

Reference 4

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source=pdf_text observed=2026-08-02T08:55:50.262375Z digest=sha256:165af0d75a908a7e67c13127c7b41e8121b36127162ef719ed51eeb92080e347

Observation 2a94459b-fe77-4164-9113-fdfac8365f0b · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.271782Z digest=sha256:f7e96488e0f4381b925cd21e8350f13d1607944a76857fd317144c70804da6bd

Observation 1d849e02-5796-4cb7-b83c-cbaa3a9cabb4 · outbound

This paper cites Bi and M.-m.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Bi and M.-m

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.276690Z digest=sha256:280141ef95d3b551e7d3c14c6e8e646ee4b1b087ec6b6cc28cff248a82b83f93

Observation bc479afb-5ef8-494a-b8ef-6a0a433b9259 · outbound

This paper cites Bradbury, R.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Bradbury, R

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.281154Z digest=sha256:8b4d577492f0a109d72e12e979089f661501fbc626c69f43410598ad7cb3710a

Observation dc90fdf8-6883-4734-8039-a55dec4feb25 · outbound

This paper cites Buesing, J.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Buesing, J

Reference 8

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source=pdf_text observed=2026-08-02T08:55:50.286416Z digest=sha256:45e8ebede90a47b36337506b3b9dbb106800ca55d7efbc59a71f385accabb1b6

Observation ddc38c81-1ffe-484c-8acf-f25d6ae1be65 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation A Simple Framework for Contrastive Learning of Visual Representations

Reference 9

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source=pdf_text observed=2026-08-02T08:55:50.290884Z digest=sha256:0a49d33c318539631e6426bb5db8ec80557a91f15b91dd69a68d80199a8ec9a0

Observation edc2b7e7-4e62-478c-a1b1-22d8f9d77e4f · outbound

This paper cites Coates and A.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Coates and A

Reference 10

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source=pdf_text observed=2026-08-02T08:55:50.295640Z digest=sha256:f439e600d5bc96652b07f7d46c42b893159b1fdcda4c8a308984422a0f2cf316

Observation 29ab0715-5ff2-4572-b524-f096a0d59c27 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.300077Z digest=sha256:0cc973e61de71929ba728e2a754de3d46bdb586fb34fa9d96b84c2acaa78b9f2

Observation 14bc1822-598b-4840-811a-6edb4a3f2dd5 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Bootstrap your own latent: A new approach to self-supervised Learning

Reference 12

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source=pdf_text observed=2026-08-02T08:55:50.304416Z digest=sha256:f86a0172cd238de9bdb252c95e2a731b36cf4a7454b3ae45300fa12aa2bbc150

Observation d67a3991-e687-40d2-b024-bc4bf3ce905a · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.309112Z digest=sha256:32a0cf1b795b4b1d9f44bc93dbadb35e520d65e7146791ad451a846ca9ae120f

Observation d0aa55a5-003a-48f2-a3c6-ed8a4fdacbf5 · outbound

This paper cites Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition

Reference 14

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source=pdf_text observed=2026-08-02T08:55:50.313350Z digest=sha256:d07080569d5b167ae13f324b13e12f3e96996187dbf8218f0137f2a63d6e2b2e

Observation 5a3885b4-4ab0-4102-9344-0308f553df18 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 15

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verified exact
doi, observed 2026-08-02T08:58:23.785340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-02T08:55:50.317925Z digest=sha256:8cb375919f4c86e46cbfb4e6fcb15dd39bfb6e04fa5f1ddd783f7a907ce9f74c

Observation 763b3eee-198a-4105-b9bb-220ae75425db · outbound

This paper cites This is how the Neocortex Learns.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation This is how the Neocortex Learns

Reference 16

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source=pdf_text observed=2026-08-02T08:55:50.322596Z digest=sha256:d5a286b380bfcf114f1cfb52092baceab4ec85a35ad508dc9dd481b8b06bc815

Observation dda04d8a-3799-43d3-9536-19f5e2dc7180 · outbound

This paper cites Scellier and Y.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Scellier and Y

Reference 17

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no resolver link, observed 2026-08-02T08:55:50.327009Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.327009Z digest=sha256:9140e97f3516e7cfda62732e8117f4de26da41b6153af57dee384d1fb624112c

Observation 2e4452b1-f173-4d2e-bbe4-4b6d7a2461dd · outbound

This paper cites Schmidhuber.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Schmidhuber

Reference 18

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source=pdf_text observed=2026-08-02T08:55:50.332100Z digest=sha256:7850427ab1341ade690703b878ea50145eaa738c08ef618c72d4008d3573401d

Observation 681a5896-8ba6-44c7-8aa5-8871aa6832d4 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-02T08:55:50.336897Z digest=sha256:60eeab0fa6a18838ad89007f55f52de8206d1a6f7799f3249b686b365eca9f49

Observation 09c9e4ac-5d1d-4f87-ab60-433f048fb593 · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-02T08:55:50.345516Z

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source=pdf_text observed=2026-08-02T08:55:50.345516Z digest=sha256:2a9129e30d655732b86fab9e1b5db20280f3415bee9e69f1caaed0177d2aabce

Observation 485a3a54-b7c3-484b-aaeb-3099640b0596 · outbound

This paper cites 2.L sim =L var +L temporal (loss identity).

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation 2.L sim =L var +L temporal (loss identity)

Reference 25

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source=pdf_text observed=2026-08-02T08:55:50.349682Z digest=sha256:d10148ee764a7437be946f6ca45aba43867e38dafc0892346c0e73ebbf5a6308

Observation 3e5b50ed-084d-4d04-9ebe-9af77cec7e2e · outbound

This paper cites (14) equals∂L var-hom/∂h(exact, no missing factor).

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (14) equals∂L var-hom/∂h(exact, no missing factor)

Reference 26

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source=pdf_text observed=2026-08-02T08:55:50.354305Z digest=sha256:0d6a287f12bc85dabdf9c7d1bceb18c3e7c1edf00487966acb44b12227745659

Observation 1cf9243f-9cc0-46a6-bef2-294d4ce0ccfa · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-02T08:55:50.358513Z digest=sha256:646ab4395f10b45254b8a7f1479cfe2175d7763829e9d78ceae8228e62ff9351

Observation dbe3f0bb-fc87-4f7f-aae0-d235f2e8c08c · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-02T08:55:50.362757Z digest=sha256:4c71c1e6b4751dc841d1ef0bbeabf4c17cc535382420b06be7b86e84e6ea58e9

Observation 176a5e21-e5c5-4081-9dcb-5fb3e75b7d04 · outbound

This paper cites Table 2 reports the maximum absolute error of each identity.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Table 2 reports the maximum absolute error of each identity

Reference 29

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source=pdf_text observed=2026-08-02T08:55:50.367156Z digest=sha256:f1f3d1f948afb7d80d3a625d2c4f272bd12ddc12627b5c890f1ef8af20426fcb

Observation dfcc08ce-6269-470e-a681-f736a5b96e3c · outbound

This paper cites an unresolved cited work.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation Unresolved cited work

Reference 2008

Resolution
verified exact
doi, observed 2026-08-02T08:58:23.566783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-02T08:55:50.341192Z digest=sha256:e45d963fa27cc270be234ebd3b31c36b2cadb169149abc455ed14756de9ad06e

Observation 84d87d90-41bc-4813-84a0-4c5d6e2df5b8 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 2025

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source=pdf_text observed=2026-08-02T08:55:50.266763Z digest=sha256:7c1c9c5b2b12b99032678cc2876e0dfa051e752b0ea19d9678b0088427b41222

Observation 1f7325ee-2307-41a5-8642-e015aa6413f2 · outbound

This paper cites URL https://www.biorxiv.org/content/early/2026/ 06/09/2026.06.08.730984.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation URL https://www.biorxiv.org/content/early/2026/ 06/09/2026.06.08.730984

Reference 2026

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source=pdf_text observed=2026-08-02T08:55:50.244434Z digest=sha256:6f9cc58f0ae85c2d1a377b194af6f840e8944bcfad08373e03e6d4804c30c732

Observation 38abba45-6c80-44ea-9630-d23ea0ce5bf4 · outbound

This paper cites URL https://www.sciencedirect.com/ science/article/pii/0025556471900514.

Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation URL https://www.sciencedirect.com/ science/article/pii/0025556471900514

Reference 5564

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no resolver link, observed 2026-08-02T08:55:50.257981Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:55:50.257981Z digest=sha256:8552cbd0b049fed00d268d09794646ba86cb1cf4e30f1d1fe20563087fab3bc4

Pith citing papers

No inbound Pith citation observations are available.