Pith. sign in

Paper Citation Record · LEDGER

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2506.04892.

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

pith.paper-citation-record.v1
2506.04892 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:37:35.235012Z

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:28:06.087771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.419345Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d802d3c0-ac74-45b8-859b-7906c18c0f3d · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:37.288094Z

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=2026-08-07T10:37:32.587605Z digest=sha256:89a0b04052188b2042670ca971efd8e8a980e5eb5f1c9f5686b6f16903f932f4

Observation 7e7bc0ca-f381-4400-b5e8-c954ec505159 · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:37.102740Z

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=2026-08-07T10:37:32.640698Z digest=sha256:73a47c958da375cb0a2b37a084c6627c1811883a8d2a0037bf6eb7cf969b7c41

Observation 9da3b7ed-a965-40bb-a8fe-8ff44186d74b · outbound

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

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study A Simple Framework for Contrastive Learning of Visual Representations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:32.747498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:32.747498Z digest=sha256:054e009639b7348ca29aace9ce7e855385fae6cd9b27fc24b77f8a5c07aee0c7

Observation b6a22e23-20bd-43db-9dec-b393e8e94b5d · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:32.823685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:32.823685Z digest=sha256:b28e7502d5fd840a89b4b435ac83a82cf320c1e056d2a350debfce4e0b790357

Observation e6deb644-e859-4ea5-b39b-49caf4de140c · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T10:37:35.421015Z

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=2026-08-07T10:37:32.916032Z digest=sha256:91c7d970cec7030f7ac57c326c12b581047dbbb7bd726f780b441be42eb459c8

Observation 250723e1-ee66-4143-9040-d400a340741d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:32.989167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:32.989167Z digest=sha256:d7ea7fa6f385fae2c681906b7c2aa4a1f4c925d64aa8fba5545a2a8f7fe9b4a6

Observation 8bffd09d-6581-4c42-b7de-59e4f2f6f544 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.099113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.099113Z digest=sha256:53628dfeb8b6c8ef6873ba49cf3b1185d23c83546954f38511967112a551bda5

Observation c08849fd-f62f-447d-9d13-85cc380c45a7 · outbound

This paper cites ImageBind: One Embedding Space To Bind Them All.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study ImageBind: One Embedding Space To Bind Them All

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.205620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.205620Z digest=sha256:60b605feee0d79b3aa33a300934c552fe40971d22da177a3c752d3797ec09c3c

Observation 0d436bed-913d-4e74-a97a-d07426699490 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Deep Residual Learning for Image Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.277840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.277840Z digest=sha256:c21757c2436f3fb2322a8aa47ff4562c822ea21c40f46f8939687b5f858b8a14

Observation 39f9be64-e873-42db-9ad0-40eb9ae99897 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Gaussian Error Linear Units (GELUs)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.355491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.355491Z digest=sha256:e7586c10bf630dd698728abf46ed5ccabf3c37c2695ea1e4ccb85ea2e3d4f734

Observation ae4fb4a3-b4cf-4f61-8e62-9cf3432bf308 · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.933134Z

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=2026-08-07T10:37:33.461161Z digest=sha256:3932348885d103aa0cc4224dcfc7b5f816a16ea6dc5bc892a3201c21f8abef0a

Observation 83283383-3b07-4ddf-8737-f25d0a410a95 · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.767557Z

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=2026-08-07T10:37:33.538373Z digest=sha256:ca059c1a094d52508cb7e85f49fefed6a5c7c8677e44a325852cc86477d355f2

Observation 47ea9a08-ca9d-4a94-8470-f5dc0339d824 · outbound

This paper cites Supervised Contrastive Learning.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Supervised Contrastive Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.644007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.644007Z digest=sha256:264ad3482b63975268f8b87613598a46af4df83f519915f81525f19d0b9f8a42

Observation 7a4508a3-57df-4807-898f-172ae2dea036 · outbound

This paper cites Giraffe: Using Deep Reinforcement Learning to Play Chess.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Giraffe: Using Deep Reinforcement Learning to Play Chess

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:37:35.626091Z

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=2026-08-07T10:37:33.743499Z digest=sha256:f260b55a9888bcb9b2c48f2f83e3cc8dcddb7fce6dd7ed6f3c59478abb5cd99d

Observation 0c194192-cec7-463b-bc8b-ea3e6642b0c7 · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.885951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.885951Z digest=sha256:8d12a8e436c4f47845f3df817ec7c507765f3adb44cda7c40ac5ecddf074bbdd

Observation cbe02ae8-2c0c-428b-91dc-387d46573dd1 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:33.992420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.992420Z digest=sha256:ec9377efe4e4272fc8695335127a8f303b4618e4dc419f745b4fc716f81d56e2

Observation 579f165f-e53c-408b-9e3f-5f53f4813b8f · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.581583Z

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=2026-08-07T10:37:34.067468Z digest=sha256:be65963a838b816023bc91fe4dca5f3a4af9af8a4258f8f31d5a42776073994a

Observation b1e757c0-58cd-43f3-a3cf-f6d45bea0df8 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:34.170207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.170207Z digest=sha256:8269c6b973d8688aaf847d0862e6c7e56573dc28f83e6b754147807e944bf705

Observation e39637e5-8550-4c6d-92c8-2ab081f69a88 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Learning Transferable Visual Models From Natural Language Supervision

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:34.281184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.281184Z digest=sha256:0fef08198094221adbb1c744cfeb2541460901a4aa4a4f21595bb52786b938d9

Observation 0861e741-7c17-4ba1-b603-ac34c7ce6fca · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.359448Z

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=2026-08-07T10:37:34.384685Z digest=sha256:a1e2f64b94db1f67f98c61539684ae221dcde903771265d6cf37b8e0b8345c92

Observation 8e3b267e-9c57-4ecd-a973-9637663f7fd3 · outbound

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

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Amortized Planning with Large-Scale Transformers: A Case Study on Chess

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:34.467171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.467171Z digest=sha256:dc06d78542b48c72a76d6176aa20f3a9195a8273897e01d3dfa41dc106958593

Observation 4d96aa79-926e-4ba5-bed4-347431328a3c · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.188430Z

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=2026-08-07T10:37:34.574399Z digest=sha256:78c0fb5e339ce3efe30d0d4318b8e03b43c2168fa7bb77457df16995e347e20d

Observation 96b5d1a6-42ac-479d-9522-b113d999f338 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:34.688532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.688532Z digest=sha256:852d83df2deefbf8b82d937c06b6b3c0f04389f989be57594c4ecb0135e7f619

Observation 23c95904-02bf-4933-98d3-611491af0a45 · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:36.019007Z

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=2026-08-07T10:37:34.805067Z digest=sha256:0aec6df07a1e0ac40e5003dac2b9af7e068bcf0d2e6c9931ccee037f365ee3a3

Observation 3aaebc2e-d815-44ce-8f3d-6fe5c374ed59 · outbound

This paper cites Maia-2: A Unified Model for Human-AI Alignment in Chess.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Maia-2: A Unified Model for Human-AI Alignment in Chess

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:34.938423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.938423Z digest=sha256:355c8980eaf2dfeb28344de8ec5f6e8a97fd324aa1ed83ef4abcf5b99d5a9105

Observation 0cfae8cf-b2ee-4424-890d-1cd3f7c8670c · outbound

This paper cites an unresolved cited work.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:37:35.860889Z

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=2026-08-07T10:37:35.040205Z digest=sha256:e8986a2fc4c19e75115ab19089e1c02ba24380ce15a483fdf70ca26f16002b54

Observation df1a038c-6d45-4fc3-a971-5855603e45e3 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Representation Learning with Contrastive Predictive Coding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:35.142626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:35.142626Z digest=sha256:8170d5c5eb1478a1ad01cb35b94b4947666b795efe4c7afc80ab7e5d5399acd4

Observation 4d9fdef6-3761-441e-97e1-dcc67a552d22 · outbound

This paper cites Attention Is All You Need.

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Attention Is All You Need

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:35.235012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:35.235012Z digest=sha256:2a772d3b90484e912f89e83d41c9ef70e70fc92973fa5ab3438c0bccbbad346a

Pith citing papers

Observation 80f55a2e-1e4e-4ac7-ae7a-7154565766cb · inbound

RePAIR: Predictive Self-Supervised Representation Learning in Chess cites this paper.

RePAIR: Predictive Self-Supervised Representation Learning in Chess Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:17:48.421160Z

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=2026-06-27T10:28:06.087771Z digest=sha256:31d0b997db141cb81da68eafebf37c9e27c17b03ca21663c52358353c8b8f674