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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.753052Z digest=sha256:b3609c83dae7d7712a4b5db7a51272866bd0e234257fb803ba875a6afac222b6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.759431Z digest=sha256:2968ccfd49e7d86cccf1801fc27589d7c4e437942c59344505dfc1928b0af617

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.764149Z digest=sha256:1ff0c5e1a842308b320e7e2de2d72995e8466558b5d2ceb131823ec85b3d7a06

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.

source=arxiv_source observed=2026-08-08T17:28:39.768245Z digest=sha256:80609d78d527041693873d87058ee0844550ed49af4d6a6323d48b38966cb4a4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.772304Z digest=sha256:46f5efad3f9dd3834d9e5777b79330f1b1b9abec7f2b15894a76f319357eac70

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.776712Z digest=sha256:0d8ed53d4df7c6dfe406ccf64e2be088b07f5242610f4b5022e79eadd2e81235

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.781922Z digest=sha256:1c07a0ec2a0ecfe2d9ff0a879f9a252be27da3d7808f4edbfc37b9a1b2819651

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.

source=arxiv_source observed=2026-08-08T17:28:39.786421Z digest=sha256:6e2960cf4a699f9071a60dca28e9117f2890471511518c9630bfa9dfaf0fa78f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.790960Z digest=sha256:9f306122a47769f14c579627a583be6dcc9fa8025f70d694b5327ec1d0bc17bd

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

Resolution
verified exact
doi, observed 2026-08-08T17:28:40.310213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.795702Z digest=sha256:1e58feb73d95dad070704d57ca24cc980002b9428ce691ea643b904706ac46aa

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.800215Z digest=sha256:07795d4ddc6a0cb44468dcbd38022a421c1a4213d79543f5f7860b277604650f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.804586Z digest=sha256:8473e4e47ee5d85137739817a97b340df8adbae28b372a5b83ab4dc531f1c7a2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.809219Z digest=sha256:50832ed0b0e4aa5476609814dbcc58f5b182e43bf9ed512dade44dd024221718

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.813860Z digest=sha256:dd1ed4d23bf9019022db2f191344a6dd2748a8a0fac3214eac19bcd8fc635862

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.818172Z digest=sha256:381d59c17bbc4618cfff61728a4af3fe2fe3eda3ea1649139d09c8abfe500856

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.822577Z digest=sha256:7427ac3c1d9bb395f1b3605d0c7f8dcfa54bcb974f5e4b53648d18017c7c8856

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

Resolution
unresolved
no resolver link, observed 2026-08-08T17:28:39.827029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:39.827029Z digest=sha256:158d04f603eb31d22973202b9bc3601f2cfcf5798050d271a5cbea012be958fa

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.

source=arxiv_source observed=2026-08-08T17:28:39.832529Z digest=sha256:4d3bd770814eac202210d74395f22eb21c321a77942a5cbdfabfd634cb72d5ec

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.837525Z digest=sha256:2466ac2916e2fbe83b4895a63eb461facd0db8335c821e1faeed10ea0fff30cd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.872226Z digest=sha256:eab295dfd412c9f1eef6561f3819be645411ada6a8cfff5ea81fb7467880e01d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.899903Z digest=sha256:4c959a3fee59db0b7c72aee0b9d1a7074b43d780f7d17c0c7d4091167e748bf5

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

Resolution
unresolved
no resolver link, observed 2026-08-08T17:28:39.934577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:39.934577Z digest=sha256:483494b9db98c5975ace60fe0ea105839d0f2ea5c2f110d6c7edf0921eb9a615

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:39.997633Z digest=sha256:1ae3cafffdca9e4eaeedbc9ce4744ba3d11d95e68b410078d1e72e55db831e88

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.019641Z digest=sha256:9a4be756d4cd6368fa999f32096a08e1547541ea613a1f28734ee7539fde8c85

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.

source=arxiv_source observed=2026-08-08T17:28:40.054412Z digest=sha256:63e2cb09ff21bd4d678389a4993cfcf15acd92b3f6c9fd09f756579ca68c9483

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.109957Z digest=sha256:67447ed7f11b9efba0e388fd6fb8c4cde0d1f59920d60aa83eca5f2a36f509ee

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.

source=arxiv_source observed=2026-08-08T17:28:40.129490Z digest=sha256:62e32d76efd2f70427e405c393173da0988bf0b344f69cb8bcce6a0d9f60aee5

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.

source=arxiv_source observed=2026-08-08T17:28:40.134099Z digest=sha256:e9c8ace6dbd72c96c0a6d6699eaefda74f5be3521025a91480e1b53d4d1ba582

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.

source=arxiv_source observed=2026-08-08T17:28:40.138289Z digest=sha256:f9d1670eb695fe7c83d24567deba151c755d503ece52a36ec4d39a2ee5c20e47

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.

source=arxiv_source observed=2026-08-08T17:28:40.142647Z digest=sha256:434628dd9fc8bcf27ad38a8a5314a8b833b8090926496d8dcb632d13c82a7317

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.

source=arxiv_source observed=2026-08-08T17:28:40.147224Z digest=sha256:4b267923bdc4ae061742d23652d78e8f57c606b7934d4dae2ba278d436dcf52b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.152107Z digest=sha256:cdc9fc8265dee0309236759d3f49d053d145d1903f117be4a35b10592f84f9b6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:40.156618Z digest=sha256:322262eae820017d6f32fb86d34c5c42a4cfb1c635ae46a179dabf31422e4515

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:40.160686Z digest=sha256:8df4bbda22e2ae083e8c51664dff5b55c8d79b60d28d3930606850e62b2f2521

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:40.164903Z digest=sha256:2fd6c2ea42040fa2826026eff72874653061f677aabd083ef00541f9b99dd7dc

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.

source=arxiv_source observed=2026-08-08T17:28:40.169485Z digest=sha256:7e3a9d07e4d93184d16076fcb80cdf0f96c656ada8538c96a9421d62c6f97ff0

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.

source=arxiv_source observed=2026-08-08T17:28:40.173878Z digest=sha256:791c85903720e2c2a859a958b727b61eaa2a2e3ea27834748bf92fb9f4d32a2e

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.178150Z digest=sha256:fdea2a0b3545ca3d329b5f9da09f93a0f0498d0cbcc24607a15df805ab0c6863

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.182580Z digest=sha256:3bd0eb9e9e48fe6a207d37d7c78b001abe98d9f1286f254efb8956fb9bd135ad

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.

source=arxiv_source observed=2026-08-08T17:28:40.187268Z digest=sha256:039055375186a017ed95247ef8097ab2b0bd9ba91bbf7bade42b39021d0fa032

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.

source=arxiv_source observed=2026-08-08T17:28:40.191751Z digest=sha256:03baf9f075e329943d3ef1f2ff8d585035ccd86b9fc8de5fd5ca004a5206a2ae

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.

source=arxiv_source observed=2026-08-08T17:28:40.196603Z digest=sha256:d8109607e7fffcec9cc1cb0d22405a4368dae7b2923c9210be31f5b919566c7e

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

Resolution
unresolved
no resolver link, observed 2026-08-08T17:28:40.201156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:40.201156Z digest=sha256:11952004658a69d62ec467919e453dd315c4549b8f4eb04a333e69ac3ca23914

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.

source=arxiv_source observed=2026-08-08T17:28:40.205565Z digest=sha256:88727b8b690d4ed6c29c9a70fa12bc2c2c0b561849ba6736d75a9c605dd98351

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.210085Z digest=sha256:5850e49bb063e921c79db93a3157f634ee867da605ef1b883b57bed080010733

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

Resolution
unresolved
no resolver link, observed 2026-08-08T17:28:40.214666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:28:40.214666Z digest=sha256:b2caa0f8b76a9b176441bf7c9f270a0579567be5b0763074ff07bba67f8090b6

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.

source=arxiv_source observed=2026-08-08T17:28:40.219591Z digest=sha256:14f963298684340916226c320ecefadd60492fe1589f94a51981f18cf9d4adf4

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.

source=arxiv_source observed=2026-08-08T17:28:40.224213Z digest=sha256:b52193fb720beb4098313196740f317e329e83cd879b2f85c432f511b460e1b4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.228512Z digest=sha256:a05f3b1350d3ce0b7b8fe8b5ecacd953b8ec984a629073d5c1f7324d62e3ddc9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-08T17:28:40.233012Z digest=sha256:3f88abcef353d5a1e5e92c86622f19957e9e79529bd445b5182212887c8b2e30

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:59:12.197591Z digest=sha256:b7dade0da2d94fba954d59f172378cde5b62d8290ed895b7d24006bddb505341