Pith. sign in

Paper Citation Record · LEDGER

Understanding the learned look-ahead behavior of chess neural networks

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:17:48.500610Z digest=sha256:ebabf9d6c1a1e2abce8de719e30f93c0354921ba6ddb4f9ddc57f349ceea4f7f

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:17:48.401460Z digest=sha256:08a84b63eb68d63b32da6c8059033a38403a44f2a233250a689a6ae46ba3d657

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

Resolution
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=sha256:09e3d9e40b323740ef27a5f7b9f3bdc9a3a750b6fb0ce6a241de91cb44e759e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:17:47.598870Z digest=sha256:19adc8b3da67d5014c241a03b9b5dafed206cbcb24b49b14231ca8f8b8f4b915

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:bc987734d1e1874d86222ab571d9bee30bb90c2b42b97502cc8002731f48c9c4

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:abccb9ed30a81fec14d639d8471a5b68921b53f4a50da73b1e732e0a4915dc12

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:e081275cfee6f7e71ee571221bceb4566b5e1a66fbfd13d27945f1a36ef49193

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:f6b15a82a5895d263d52b51a4c3dccad6e8a8ff5fd1c1a379257c29ab52d30c7

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=sha256:69f1d24c8a5e5da54dcb9de3a48c754d0ea7fbf80847e2371b47bf09697d45ea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:17:48.321974Z digest=sha256:4024308c2ee3b8ab2899e3c1f98ff7ec4f752cab504f0089623838165bdd3b42

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=sha256:8b8a69a6e45a8aaa68fbc38e5f7a22f9ef8a94e812eeca75302b60c1a0c53222

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=sha256:7f6391eb98089c4456df5334291e017a7212d4ed5d53d2439c0088accded228e

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=sha256:05096252dc7bfea6f089caa558a37aa42e17421d400ce66bec9b82a171e1ace5

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=sha256:8959b37e93d8382c47e8f0fbe37e02e84461e5d97bc2c41bb04ac083a9ead4c2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:17:47.302096Z digest=sha256:a808e75e103702974b795713906c199f7e782b94e242fd5ad51b6e7f7d7ac436

Pith citing papers

No inbound Pith citation observations are available.