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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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:ebccac5948f4f31f69b07dcc8b6d090a8c57096aeb50ccf5f83c8c5a6ca920a1

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:32.823685Z digest=sha256:ab73a2c7de696f8d68a99e7bf6fa8ebc696981bdb224ae4f8eaa979d7b984b9e

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 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:32.989167Z digest=sha256:8c148b841899d39483d34a5e2f4fc2657d0d1dfdb039ed895894cc77b42ad92b

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

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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=sha256:90a9669fa77a806419a18147cb40ac70e5407994a8a5c11fadf1c4e744c5ece3

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

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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=sha256:4e16269aa6d5b6b4a0d445bc5b6a28cc0864c2b1462b83cb5c0318877df6d19b

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.277840Z digest=sha256:0e17b215b401e5c8f44fb03106838835065a90b03804d9cbbbf480252e2ae3b0

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.355491Z digest=sha256:e439f409c31e360e65ef0d55dcba78eb7b6e1132deb20c2b01664098ccc9c507

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:33.538373Z digest=sha256:de3cbbd8b2bf911efba913073b1bf5093b2ee21fa664e0049d8b374bb4f4b10e

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.644007Z digest=sha256:dcd34957ff6cd89c4e9b510115e561d1642b15f85b4f58663efda15ced4b808b

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:33.743499Z digest=sha256:a5ee732ebf8e396eed7e6b33c4630df4516ae9c014acb7eda9b052c446b4b36c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:33.885951Z digest=sha256:7fe84657be68161bd7425a44906d1222e0d4d419cf358729f1d02324c36fc481

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

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

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source=pdf_text observed=2026-08-07T10:37:33.992420Z digest=sha256:36d8a6527210fde74b95b86609470d40b72689e1481da3f9357a91dd61487093

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:34.067468Z digest=sha256:06878df7167345e311a465bf25406ac7eb5f2f7bc9857e36cae5ff189f34248d

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.170207Z digest=sha256:6db350f51aea45c51676ef3d9b6db1d78e6ef91435f4068b38250a65b29b246e

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

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

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source=pdf_text observed=2026-08-07T10:37:34.281184Z digest=sha256:fcaeb492cea879e2e0a6ab9098430d22caac368df38fa35d394678e9afa47878

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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:34.467171Z digest=sha256:4f820e9ba34f41f49e6256c070634e94fd8e9e7eca30aa70eb3e0f73a644c1c7

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:34.574399Z digest=sha256:85899ff6f0fc9c5909cffab74fb6e6bd8442b953620f6a9e5944ce441653a7a9

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

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

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source=pdf_text observed=2026-08-07T10:37:34.688532Z digest=sha256:6f631cd2d9f700f34b0d6c6d8bf5ed255fe68d4c8647c0e35545c49a345b52d9

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:34.805067Z digest=sha256:0677c7a25daa1bfa0188de4c4ff05b58bb3703d4ead585d093ab12afbc8e0398

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

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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:a1d8e5ff2a7b2fa61637c7e20f7f390a830529e90a8bb8318bcacf0b7ac280d9

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T10:37:35.040205Z digest=sha256:95a1e5d46588786650ba4320dd07426a15eac3a86c28bfe5292d1587d9576605

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

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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:d818a5bf74bf4f126fc7ec44e8f8d7a816442b35f6e435f134be97f2dbaa51ed

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:35.235012Z digest=sha256:7e3b567711a3dc3757e64557d4c018db4c416ae9725382467019c4bb82656ee6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T10:28:06.087771Z digest=sha256:84bd358380d9a289297bfb34ceb192669cbe1b3237fda9e497c3544d4c39f1df