Paper Citation Record · LEDGER

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2608.04872.

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

pith.paper-citation-record.v1
2608.04872 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:28:40.233012Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:59:12.197591Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:59:12.321899Z

Reference resolution

50 of 50 outbound references displayed

verified exact1
verified fuzzy20
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d53e19ce-44eb-475b-965d-e92fbe4b3ce1 · outbound

This paper cites Science , volume =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Science , volume =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.562355Z

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.

Observation bdc11c17-274e-47ad-be67-be6dced657de · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the National Academy of Sciences , volume =

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.547511Z

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.

Observation b479ebad-c782-4875-9b2f-4ae7270e4e7f · outbound

This paper cites Science Advances , volume =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Science Advances , volume =

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.531947Z

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.

Observation 495a0a49-75ad-431a-8cef-29565670650c · outbound

This paper cites Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:39.768245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2527bd5-b2e8-45f4-a3f4-3601dad02b4f · outbound

This paper cites Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search , booktitle =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search , booktitle =

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.506220Z

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.

Observation 1a07d50e-1dc0-48ba-9ac1-45a5033b4860 · outbound

This paper cites Improving Symbolic Regression with Interval Arithmetic and Linear Scaling.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Improving Symbolic Regression with Interval Arithmetic and Linear Scaling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.491881Z

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.

Observation 4a5452c0-967b-4777-835c-15cb872179fa · outbound

This paper cites and Smits, Guido F.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination and Smits, Guido F

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.476583Z

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.

Observation 59090387-a5fc-44dd-bee7-5c3b8c2e35ab · outbound

This paper cites , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination , title =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:39.786421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7bf1ec-78dc-46d2-bacd-a99bea3679cf · outbound

This paper cites DEAP: evolutionary algorithms made easy , year =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination DEAP: evolutionary algorithms made easy , year =

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.461424Z

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.

Observation e359c3a7-b150-49d6-be5e-3aec7d08f7ac · outbound

This paper cites and Alderliesten, T.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination and Alderliesten, T

Reference 10

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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.

Observation 04f96c7d-2d1e-47f6-b326-14bd9e681ac6 · outbound

This paper cites , journal =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination , journal =

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.445868Z

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.

Observation 677aa8a1-56ba-43a8-af79-85a14c2a6a3a · outbound

This paper cites Petersen and Mikel Landajuela and T.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Petersen and Mikel Landajuela and T

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.429493Z

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.

Observation 6d4d8115-9584-4d2b-8c85-394ded72c592 · outbound

This paper cites Nathan and Aravena, Ignacio and Mulcahy, Garrett and Petersen, Brenden , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Nathan and Aravena, Ignacio and Mulcahy, Garrett and Petersen, Brenden , title =

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.413903Z

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.

Observation a31cb05d-73a8-4519-8105-413bd02189cf · outbound

This paper cites Reddy , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Reddy , title =

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.381418Z

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.

Observation 6a06db89-a1b5-4944-b9c1-a5a6cb2229b7 · outbound

This paper cites Proceedings of the 38th International Conference on Neural Information Processing Systems , articleno =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 38th International Conference on Neural Information Processing Systems , articleno =

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.301244Z

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.

Observation e0fba33f-3041-49b9-94c7-b1e8a236e590 · outbound

This paper cites LLM-SRBench:.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination LLM-SRBench:

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.258838Z

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.

Observation 9829cf9e-0bc8-4f81-afc6-0795be9ee9a8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Evaluating Large Language Models Trained on Code

Reference 17

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Source-reported events for the cited work

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Observation 5d820625-4ab0-4a26-9881-3dba538d8f0f · outbound

This paper cites Program Synthesis with Large Language Models.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Program Synthesis with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:39.832529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae87fee4-7d5d-4754-a2d2-ea73ee43dade · outbound

This paper cites Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.242477Z

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.

Observation 05484ad1-272e-4037-a243-3e416f234936 · outbound

This paper cites Aakash and JohnPatrick Connors and Michael D.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Aakash and JohnPatrick Connors and Michael D

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T17:28:40.636251Z

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.

Observation 6b739455-7ae0-45a4-831f-55d33ab4cb1b · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:28:41.226546Z

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.

Observation a78d3fa0-fe91-4127-b1b0-dc4d8be53f0c · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856b7334-92d2-4286-b7c8-046a47f66770 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 38th International Conference on Machine Learning , series =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.201404Z

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.

Observation f721c4fe-f664-4bf6-a817-e880c258d3e9 · outbound

This paper cites End-to-end symbolic regression with transformers , year =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination End-to-end symbolic regression with transformers , year =

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.187175Z

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.

Observation 0b6b780d-7197-4f63-83f1-5225471f9882 · outbound

This paper cites Contemporary Symbolic Regression Methods and their Relative Performance.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Contemporary Symbolic Regression Methods and their Relative Performance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.054412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb72e7eb-f6ec-44bb-aa71-7a4f294750c4 · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:28:41.171769Z

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.

Observation b544690a-2259-49d5-882c-5e6bdfae3969 · outbound

This paper cites and Le, Quoc V.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination and Le, Quoc V

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.129490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081e8dd2-8696-4d7d-90fd-8cdef9890650 · outbound

This paper cites Le and Ed H.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Le and Ed H

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.134099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ded881-abb5-4c7f-9ce1-32b411d33ae0 · outbound

This paper cites and Cao, Yuan and Narasimhan, Karthik , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination and Cao, Yuan and Narasimhan, Karthik , title =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.138289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac512c25-712c-460b-a50b-43429de78210 · outbound

This paper cites Narasimhan and Yuan Cao , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Narasimhan and Yuan Cao , title =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.142647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c8b59a9-80d2-41dc-b5c3-125c591a6fc8 · outbound

This paper cites Toolformer: language models can teach themselves to use tools , year =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Toolformer: language models can teach themselves to use tools , year =

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.147224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27cc58a4-032a-4eb5-849e-da493a66fb83 · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:28:41.107910Z

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.

Observation 563e33b1-c745-458c-8239-3620bcbd83e1 · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.156618Z

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Unavailable: canonical work link unavailable.

Observation ffdb2e65-c2c3-4cbd-bbaf-b453813067f5 · outbound

This paper cites , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination , title =

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.160686Z

Source-reported events for the cited work

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Observation 28618b49-8ef2-400f-ab00-28c186be58c6 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination The Twelfth International Conference on Learning Representations,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.164903Z

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Observation 70d0e322-0bc5-404c-a2e0-42711df5d910 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination The Twelfth International Conference on Learning Representations,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.169485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca269e2-2cb6-4e80-ae4e-6f9f6e39dd08 · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.173878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1355fe4c-5ebc-4a64-b9f3-66150e2ede6f · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.052884Z

Source-reported events for the cited work

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Observation f1628aae-8305-42de-9ba1-c12195448cb4 · outbound

This paper cites Nature , volume =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Nature , volume =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:41.037197Z

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.

Observation f8c2bd61-b500-4334-8e87-6753dd598619 · outbound

This paper cites and Kaiser,.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination and Kaiser,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.187268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b2bc62-445d-4d78-8e49-9d692f5070ff · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.191751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5c1aa2-dea3-423b-859a-a96a4abe0513 · outbound

This paper cites 2023 , isbn =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination 2023 , isbn =

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.196603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa41133-e4cb-49fb-8165-6788b3b81b92 · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3221188b-d820-4229-afa1-75005f8e1448 · outbound

This paper cites Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.205565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ec1f78-fa03-4611-9bdc-17ef5d8d073e · outbound

This paper cites an unresolved cited work.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:28:40.984612Z

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.

Observation b73c6eac-6691-475d-9803-94a114090682 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Distilling the Knowledge in a Neural Network

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6999c838-f8d0-41ef-9803-79283a141f9f · outbound

This paper cites Finite-time Analysis of the Multiarmed Bandit Problem , year =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Finite-time Analysis of the Multiarmed Bandit Problem , year =

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.219591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5492d663-1fd1-45f1-9043-7f3afa922c90 · outbound

This paper cites Brunton and Joshua L.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Brunton and Joshua L

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T17:28:40.224213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a762fb8-34a9-4db8-abdf-1e81bd459ced · outbound

This paper cites Rudy and Steven L.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Rudy and Steven L

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:40.957858Z

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.

Observation f9e4e6cf-6fd9-4b0b-81aa-5a954420d8a3 · outbound

This paper cites Massucci and Manuel Miranda and Jordi Pallarès and Marta Sales-Pardo , title =.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination Massucci and Manuel Miranda and Jordi Pallarès and Marta Sales-Pardo , title =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:28:40.835893Z

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.

Pith citing papers

Observation 90cbbf2e-91f9-40bf-9088-e69e9fdbd730 · inbound

Se-DPO: Self-Evolving Token Credit for Direct Preference Optimization cites this paper.

Se-DPO: Self-Evolving Token Credit for Direct Preference Optimization A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T14:59:12.329770Z

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.