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Paper Citation Record · LEDGER

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.06904.

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

pith.paper-citation-record.v1
2506.06904 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:43.265109Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T19:18:30.663355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:22:34.569009Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact7
  • verified fuzzy10
  • unresolved18
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e23b9f8-1234-48f8-9be4-97f287d2e8d0 · outbound

This paper cites Although the neural datasets used in this study contain multiple trials per condition, we did not compute data-data similarity via trial-based subsampling.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Although the neural datasets used in this study contain multiple trials per condition, we did not compute data-data similarity via trial-based subsampling

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2a6b1a9-b84e-4f16-bb92-a40dca4bc3df · outbound

This paper cites Representational dissimilarity metric spaces for stochastic neural networks.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Representational dissimilarity metric spaces for stochastic neural networks

Reference 5

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Observation 5efb9e64-fdf4-4d48-9266-a5bbaf264a74 · outbound

This paper cites What Representational Similarity Measures Imply about Decodable Information.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example What Representational Similarity Measures Imply about Decodable Information

Reference 6

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Observation e7094505-ddab-47fc-a690-1fc4bd240e05 · outbound

This paper cites an unresolved cited work.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 831e7880-3f13-4739-9d40-adafe190e5ce · outbound

This paper cites Similarity of Neural Network Models: A Survey of Functional and Representational Measures.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Similarity of Neural Network Models: A Survey of Functional and Representational Measures

Reference 9

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Observation 78959eb6-51bc-439c-82ed-12545f4c11d5 · outbound

This paper cites Learned feature representations are biased by complexity, learning order, position, and more.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Learned feature representations are biased by complexity, learning order, position, and more

Reference 11

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Observation 0185537f-b84e-4a01-aba1-a4ed86b5d141 · outbound

This paper cites Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules

Reference 13

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local_arxiv, observed 2026-08-07T05:51:43.494340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ae366add-c0b3-4f0c-81fd-c0c39a9c1da2 · outbound

This paper cites Comparing noisy neural population dynamics using optimal transport distances.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Comparing noisy neural population dynamics using optimal transport distances

Reference 16

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Observation f3afd0ee-a17c-4127-93b4-ffe99d7b241a · outbound

This paper cites G., Arlt, C., Soares, S., Young, M.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example G., Arlt, C., Soares, S., Young, M

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 226f78c2-fb78-45e3-8606-2bf4fc19846b · outbound

This paper cites Estimating Shape Distances on Neural Representations with Limited Samples.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Estimating Shape Distances on Neural Representations with Limited Samples

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a7a365bd-4f3b-4f76-a467-bb6354e73149 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 21

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Observation c8b2fde0-9d3e-4d47-98c4-f059a7f0f508 · outbound

This paper cites Aligned and oblique dynamics in recurrent neural networks.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Aligned and oblique dynamics in recurrent neural networks

Reference 22

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local_arxiv, observed 2026-08-07T05:51:43.358850Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e084194e-4cda-4409-b64b-5b917e78ac6e · outbound

This paper cites Getting aligned on representational alignment.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Getting aligned on representational alignment

Reference 23

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Observation eb8fec4f-a5b3-46f4-b3a9-7d35f6b90ca3 · outbound

This paper cites Probing the relationship between linear dynamical systems and low-rank recurrent neural network models.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Probing the relationship between linear dynamical systems and low-rank recurrent neural network models

Reference 24

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local_arxiv, observed 2026-08-07T05:51:43.310965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 024dbe61-65ae-499b-acb6-ede3a26b6c24 · outbound

This paper cites Brainscale: Enabling scalable online learning in spiking neural networks.bioRxiv, pp.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Brainscale: Enabling scalable online learning in spiking neural networks.bioRxiv, pp

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ee44b61c-2589-4dcb-b81a-7c47bb782b2d · outbound

This paper cites 6, ensuring that updates to Wh,ij follow a three-factor framework — the updates rely solely on local pre- and post-synaptic activity and a third top-down instructive signal (e.g.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example 6, ensuring that updates to Wh,ij follow a three-factor framework — the updates rely solely on local pre- and post-synaptic activity and a third top-down instructive signal (e.g

Reference 28

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5cf7b172-f323-4e64-a9d7-10467197a55a · outbound

This paper cites an unresolved cited work.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ca29dab5-ac93-403a-be96-47ce33858b29 · outbound

This paper cites an unresolved cited work.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Unresolved cited work

Reference 30

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Observation 687a7819-bf0f-4c36-9f06-9aac9937fa95 · outbound

This paper cites Normalized accuracy, which appears as the x-axis in several plots, is defined such that a value of 1 corresponds to perfect performance.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Normalized accuracy, which appears as the x-axis in several plots, is defined such that a value of 1 corresponds to perfect performance

Reference 32

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c09f36d3-5987-41db-862f-083e27064ed2 · outbound

This paper cites Here, the Sussillo 2015 dataset is illustrated.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Here, the Sussillo 2015 dataset is illustrated

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 87e5e185-23a9-429e-bc1f-bd0587416412 · outbound

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Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e8e6bd96-431e-4184-b807-2306bb8a4a29 · outbound

This paper cites Methods A.1.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Methods A.1

Reference 1991

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 06f1f343-966e-496b-8f7a-16913ce36c99 · outbound

This paper cites The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks

Reference 1998

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Observation 4a341282-3f52-4cf5-b288-7cc6005667b4 · outbound

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

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 2007

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Observation 373de01e-d680-4d2e-9680-f83db85ab7ab · outbound

This paper cites Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations

Reference 2008

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Observation 6d05bee9-0d1f-418a-a22a-7ff730afa544 · outbound

This paper cites Reliability of CKA as a Similarity Measure in Deep Learning.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Reliability of CKA as a Similarity Measure in Deep Learning

Reference 2009

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Observation 0f0c02c0-835b-484d-be5b-3e527f6bf256 · outbound

This paper cites Evaluating biological plausibility of learning algorithms the lazy way.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Evaluating biological plausibility of learning algorithms the lazy way

Reference 2013

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f032319e-31d0-4f49-9378-1aa01a57241a · outbound

This paper cites The Topology and Geometry of Neural Representations.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example The Topology and Geometry of Neural Representations

Reference 2015

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Observation 045ad433-9d9f-4ff8-bff5-8b893a206baf · outbound

This paper cites an unresolved cited work.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Unresolved cited work

Reference 2017

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doi, observed 2026-08-07T05:51:43.952077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 55b4c8de-fb62-431d-b858-6230599c1b08 · outbound

This paper cites Dendritic cortical microcircuits approximate the backpropagation algorithm.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Dendritic cortical microcircuits approximate the backpropagation algorithm

Reference 2018

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Observation 1ffa9816-b6d0-4303-b261-77f909fbbbb7 · outbound

This paper cites C., Qian, N., Desimone, R., and Cueva, C.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example C., Qian, N., Desimone, R., and Cueva, C

Reference 2019

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d531cbd2-95ec-4fd0-8c2c-91be2a47d0bc · outbound

This paper cites A Practical Sparse Approximation for Real Time Recurrent Learning.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example A Practical Sparse Approximation for Real Time Recurrent Learning

Reference 2020

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Unavailable: canonical work link unavailable.

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Observation 72bb2e0b-3691-40c9-82f7-e296aaef1376 · outbound

This paper cites Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Soft Matching Distance: A metric on neural representations that captures single-neuron tuning

Reference 2021

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local_arxiv, observed 2026-08-07T05:51:43.617652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 485cf8c6-6ee8-424e-82d0-4fcd1b857754 · outbound

This paper cites Differentiable Optimization of Similarity Scores Between Models and Brains.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Differentiable Optimization of Similarity Scores Between Models and Brains

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:43.082108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:43.082108Z digest=sha256:dab452c7e195a985068cd21d48910c08b4cb452ab2c1b7ccdd748270f884d472

Observation 042a22dd-ba22-48fc-a3f9-ea8c76208af1 · outbound

This paper cites Cortical credit assignment by Hebbian, neuromodulatory and inhibitory plasticity.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Cortical credit assignment by Hebbian, neuromodulatory and inhibitory plasticity

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:51:43.804807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:51:43.071075Z digest=sha256:5e32481eedb8663682af26136e89e28615c59d770b9c81c4b7577adcfe881cda

Observation 74c985bd-305e-4c50-9f86-37d08061c1e5 · outbound

This paper cites Geometric compression of invariant manifolds in neural networks.Journal of Statistical Mechanics: Theory and Experiment, 2021(4):044001,.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Geometric compression of invariant manifolds in neural networks.Journal of Statistical Mechanics: Theory and Experiment, 2021(4):044001,

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:51:44.174946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:51:43.165888Z digest=sha256:15b940375d954eafe964fe1ce0640bc32b689227a0fb37f9dddb1eb1a9dfa9af

Pith citing papers

Observation 4a8794e1-e7fd-4c62-9a96-4623461e258c · inbound

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks cites this paper.

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:22:34.570267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T19:18:30.663355Z digest=sha256:d21fa77c98d087f0a621a8741b2ca470f05df1c465a6d070a5d64156d4d3b2cf