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Paper Citation Record · LEDGER

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.01280.

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

pith.paper-citation-record.v1
2410.01280 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:50.758598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:36:40.321147Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f4ec108e-aa52-4fa3-9256-3bee2df9b2da · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T20:40:32.240122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:40:32.240122Z digest=sha256:d2a39a0b3e5c52be53e14e2462be994633db6d05107d8798ea817fe73b9856ac

Observation ba6fb529-0c7c-4a61-a69b-db6ab19120b4 · inbound

Large Language Models Think Too Fast To Explore Effectively cites this paper.

Large Language Models Think Too Fast To Explore Effectively Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T01:09:03.105376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T01:09:03.105376Z digest=sha256:93843b54283d3d5035c6ce233a1106a4c71ff0245579ecf494d8c7c123e28afd

Observation c662d386-ef9e-417a-a2b9-e734c20dced9 · inbound

A Survey on Explainable Deep Reinforcement Learning cites this paper.

A Survey on Explainable Deep Reinforcement Learning Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T19:17:21.988056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:17:21.988056Z digest=sha256:7e11f571fcabb4da4d4c75da9069d2a4a3da706fade08acc221379c1371afc39

Observation 3a8519eb-c283-462f-9d9d-4a69bfed5081 · inbound

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints cites this paper.

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:50.758598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:50.758598Z digest=sha256:0e917dd2dcc568c74090a1c0bb0eeab5a81eeceb7a1403d525e4ce56c417fa5c

Observation f44c23ef-51a0-4aa4-8e41-d6f80c5edbae · inbound

In-Context Learning Strategies Emerge Rationally cites this paper.

In-Context Learning Strategies Emerge Rationally Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T19:07:53.468364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:53.468364Z digest=sha256:004098fa5c2216e8782a96342f7bb31f3ee36c928748ef52353a4ea271b3b9e0

Observation a759bd36-5378-49d6-a474-71f930619d52 · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:33.376066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:30:33.376066Z digest=sha256:d029b2a3f0e5f10779027c81708852227a27a78872a0c825ff0827892940df07

Observation e6ca6c23-b91a-41c4-af27-5b27f1d34dc7 · inbound

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding cites this paper.

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T18:21:12.910702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:21:12.910702Z digest=sha256:16f1f996c9f0c335b6205dc4dc81c44e3f2c87468923f488f72fcd8e8b342674

Observation 4a5d27a2-4fac-48a0-bf6b-7d2613f3948f · inbound

Addressing Longstanding Challenges in Cognitive Science with Language Models cites this paper.

Addressing Longstanding Challenges in Cognitive Science with Language Models Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-04T06:55:24.096221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:55:24.096221Z digest=sha256:33bf578af08cefd0f6658d0373fe4939ab3f1a676c24607f1d4298903b43d077

Observation a77035e2-54cf-4315-a55d-7920d8ff310e · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 260

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:06.726486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T17:47:09.591001Z digest=sha256:c70c2e3570d8e2166c2ee6b43e691c06dec32cb3aec0399e41fceff2d3b5aea2

Observation 3e0704ae-b50e-4042-814c-365e6640a139 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:27:19.205177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-13T05:17:34.283917Z digest=sha256:aaef5a1ef2bc908601caca74a5b2b6c715285ee24a4f590f9cc95f94126880e2

Observation 3a3e4f5b-e2c9-4d7c-86ae-ff892e5e1d62 · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:36:40.323224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T05:31:29.510639Z digest=sha256:be87ed429d9359d0a8589c43f2a6634ba22af98bf5bd44afb431d46220452969