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Paper Citation Record · LEDGER

Understanding the learned look-ahead behavior of chess neural networks

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.21552.

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

pith.paper-citation-record.v1
2505.21552 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:48.500610Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85d67faf-cc82-4896-8348-c495a8727f99 · outbound

This paper cites Nonetheless, the contribution of L12H12 is relatively limited.

Understanding the learned look-ahead behavior of chess neural networks Nonetheless, the contribution of L12H12 is relatively limited

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:49.013380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 68858d91-d8b5-4053-a3e9-920c2443b285 · outbound

This paper cites • The puzzle’s PV must not be a checkmate.

Understanding the learned look-ahead behavior of chess neural networks • The puzzle’s PV must not be a checkmate

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T14:17:49.219060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:17:48.401460Z digest=sha256:b4a74efed674a3c0a8a934294cde9cc8a9ae5d0e32504dcea0d75b5b07a9fd69

Observation 0b8cc274-5fd7-40ae-a832-e9da98b70ea9 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Understanding the learned look-ahead behavior of chess neural networks Reasoning with Language Model is Planning with World Model

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:17:47.512946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.512946Z digest=sha256:1e25cc87c0f95f1ec23366afdceda1029d50ee67068521a88cda4e8b7e0a5566

Observation 5a77d74c-71d7-4a15-b31b-088582fde4c2 · outbound

This paper cites Designing and interpreting probes with control tasks.

Understanding the learned look-ahead behavior of chess neural networks Designing and interpreting probes with control tasks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:49.621271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:17:47.598870Z digest=sha256:6f466aaf6dfbda81e9d372f84cdf590e914b856034553346970dd46f8d193efc

Observation cc192d4b-c79b-4d19-b930-07014592f85c · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Understanding the learned look-ahead behavior of chess neural networks Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:47.799785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.799785Z digest=sha256:81456e0b3933fd43ed9aacf3d4ce664b0af77d3733a967d6c8b0a8b61531f5ba

Observation 1d5b22ad-cb99-49d7-8912-5c34e574aeb9 · outbound

This paper cites Future Lens: Anticipating Subsequent Tokens from a Single Hidden State.

Understanding the learned look-ahead behavior of chess neural networks Future Lens: Anticipating Subsequent Tokens from a Single Hidden State

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:47.919056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.919056Z digest=sha256:99ed47a0e5c296a3cfc431b32f72909b31cfda81d52443ad9fb2dccb52a44da5

Observation 32807e80-f610-4dc5-aae3-18492a16147f · outbound

This paper cites Amortized Planning with Large-Scale Transformers: A Case Study on Chess.

Understanding the learned look-ahead behavior of chess neural networks Amortized Planning with Large-Scale Transformers: A Case Study on Chess

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:48.001162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:48.001162Z digest=sha256:6b985885a773de161576e9456a928f44e28c354d2bfb49fa0f0c56d599950d1e

Observation 825a7a4c-fa73-444c-88f3-2f18a4b592bc · outbound

This paper cites ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models.

Understanding the learned look-ahead behavior of chess neural networks ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:48.172808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:48.172808Z digest=sha256:b3846f00f6cd76981356ab0615e987a9be725cfc51396edfa6c6d6386ce27dcc

Observation c4f68c85-d20a-4d0d-aa16-df02c0f75358 · outbound

This paper cites Do language models plan ahead for future tokens?.

Understanding the learned look-ahead behavior of chess neural networks Do language models plan ahead for future tokens?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:48.246055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:48.246055Z digest=sha256:6ff3186782bb4dbde61a93e2becc844a0f380766d8f5956755a4fe3694faef16

Observation fac5dfd1-b747-44d4-8566-d1373956af8e · outbound

This paper cites Corrupted.

Understanding the learned look-ahead behavior of chess neural networks Corrupted

Reference 112

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:49.433942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:17:48.321974Z digest=sha256:a4214264b55f27d064d7a1f648cf04683dce3bbef6fc82de4bf9ee763a429657

Observation 5017c3a6-e926-4217-b057-3190eae5e1a4 · outbound

This paper cites Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

Understanding the learned look-ahead behavior of chess neural networks Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:48.094636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:48.094636Z digest=sha256:c83edb58fe587ffba8d02c8808f950987bf66573f9c7ee681311eab50b25d3b4

Observation 181d07f1-3637-48f5-890e-75057f40a969 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Understanding the learned look-ahead behavior of chess neural networks Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:47.357345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.357345Z digest=sha256:4453f25062ca73b7ce2e3e4ed20390af1e4f35a120643d16ad536f47e802f9f6

Observation 2bc85b35-2c69-4439-b621-7260c1795161 · outbound

This paper cites The Hydra Effect: Emergent Self-repair in Language Model Computations.

Understanding the learned look-ahead behavior of chess neural networks The Hydra Effect: Emergent Self-repair in Language Model Computations

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:47.703476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.703476Z digest=sha256:ad513332ca0fd7be74da63cfdb748404b681ba615017e99c9260a0f955c28e3a

Observation 7c3aee70-7e65-4b93-aa95-46e43127fa63 · outbound

This paper cites Finding Neurons in a Haystack: Case Studies with Sparse Probing.

Understanding the learned look-ahead behavior of chess neural networks Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:47.434967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:47.434967Z digest=sha256:5ad4da2afd2ad717e31332fba957742fef2bb48b74289985110029e06bed1c68

Observation 0620cd97-3010-47c3-b267-c287489895d4 · outbound

This paper cites Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers.

Understanding the learned look-ahead behavior of chess neural networks Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:17:48.858441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:17:47.302096Z digest=sha256:585c628456d2c29dd5507d7faf36150ae4e96ad6d05b43ddcbc9bc278e32463a

Pith citing papers

No inbound Pith citation observations are available.