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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=sha256:2802a21dd4de9e53289e3a0d831e2f75882c25f10b225fce3d87236f2786b768

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=sha256:5697c449f1096165aa107644f3bfff9255f20840ed1777c75403200083626c77

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=sha256:0ff2a83295ff77342f7a06c9e499a503405f9e77993dc2a2cd1a0000bb5a1730

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:d00ba8d030bff542b13c7ca89f90029f9bb37508b6b3fab16e85ca274bf61f15

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:f80f853dff0a219edf9cf2d914974beee61ad67248d3ba43fb95d5f34108d65a

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=sha256:81ec2cef8ed8bcf2f3e0f26f904d26dd756c60c9321bcf1f02db3859cabf91cc

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:ac0a81d90fea29a026c472704dbfc4699bc54b522d676502fb04b560d4dbd462

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=sha256:33137c729e6debecb90199d1492d284c2f38cf19da5a4ed5fbe85eb38fde3fad

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=sha256:095f74f7529f158808e4765914776769526a88d31c34f1b92d48f5f613b3135f

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:ea8b7822b96c5078e3cd437a4991df9e0751ede63d37f5ca54e780a6f2ce3f15

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=sha256:8fcce30c6c349668f7c41ecd1dab867483a35a377452b19774dd4f31c0f13b88

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=sha256:2bb25dd3e47b827190143b5d05b2597a598d830b4b3ceaaa944e36de853aad13

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=sha256:5869e4d8003951305730cdab3584a742f48b316006983cc726a6ec40f545a80b

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=sha256:17dbaf67239ed479e56851edc9acf5d280919c1688b8bb57f6a0db216f7692b2

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:a13ee423eb782dda5a042696e73655e27d741b528d5c75f16cf24eeaeb3acae7

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=sha256:99ba871d0774d574284cca2366b69be60c981b2b31127f3e0cf748fee3f27f0e

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:a32927b9cd7792924cae0c3f9469917ecc45e1efafaebb1cc951163d12f1a8b3

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:fedc1d01e957af266a8c592ebe0e7d424de2787d916438f3cb3eaca92507c86e

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=sha256:026499a1f94df46e38815a9c5a60b5aff8beda1024bcf833b4e211967860f192

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:fdc014b8ee2f30e2c6a184c3ba3b804398dfd8600fa5bf85221624cd7af62946

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=sha256:2d029905e4d7ee01d34160828b3f6751a0575b668e71dddc023c52bd53aef176

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:a7e2e8f2e9c5879d5b65335c9457ade1f10e15a7eafcad0109c1f3e6334a43d6

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=sha256:768a423c4083b45ef341c4c22756ddd0b9508b6075ee3264591a310861780600

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=sha256:70fa041fc4373bf5945cfe7d9c2beaf603fc2567047aa826a9ae134373638c97

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=sha256:2537471f8672593859006e6bbcf8d7fa20452846cee9b9f1af4485279c32a5f9

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=sha256:2f21f60a6d7a093e42dbc2b3af440b0293a12a9fa108669886e58c941ce0f03a

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=sha256:893a814bc27311cc9936db5a34724b13775e4ee4fe00267ff6de486725932370

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:d29ef3159dde14548138defb70d5764d88c224d4b6f9dfaf71555618578c1347

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=sha256:5a14e88f3cf34b02a22d6ece1e3d1209a7979f533a68da16245961d261e7aa02

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:c5fa04ecc2d0b575a75f48f7e4eb0ef988bc764a5d4365ffc42b371e27d7460e

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=sha256:956ee225837e5f68de3522054e5b6da03bb0eef643d6aeea481302735394660a

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=sha256:93950d848fc3cf4e6b1baae7329a9db81aadd0d2753d3eca5c8f8548b0efe70f

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=sha256:52b25bd787555a1f70ab372f707e2a7dde4d65750aa30a8f444c49340cc13974

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=sha256:4682f2bb9e4cae1753fd2bf34876e16bdaed80ad17b45fd4d485f6c8f9b56baa

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=sha256:19fa7e44dff4948bc0e725dae9b176341d71ee376a8f41f28991db3cea470edc

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

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

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source=arxiv_source observed=2026-08-08T17:28:40.169485Z digest=sha256:10b27c4d56058cda2809a574fa0786204998745362120f805a4b3ef9c2cea9be

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

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source=arxiv_source observed=2026-08-08T17:28:40.173878Z digest=sha256:cd6a0ed5fdb5817d23926a1840ffb5e354a78e1026bc21526b6fc99a2ea730c6

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=sha256:7d6dd05cc91ce50552868ce56d816b9023f7ff198e0e35aaa51650cfc3d70fec

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

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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=sha256:12ad044cb174a5ed31855254451d3124d5dd011d2a13dc724f16388ffcd026c6

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

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

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source=arxiv_source observed=2026-08-08T17:28:40.187268Z digest=sha256:050e2f5c4edbc9e169a156ef1bba32afda5442fca76a6ab8aac98c309aa4395d

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

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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:c326a1b283f9362cfe51682a32b583c3fefc552f1afe98069eb6c7ec0e1801b6

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

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source=arxiv_source observed=2026-08-08T17:28:40.196603Z digest=sha256:e8b8b1bc7e38adb8b71b0eb84cdfb6698cc9d1c34e668d8a3008eba51ea77186

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T17:28:40.201156Z digest=sha256:44f1798c8781dbbdd1d96c3b48362f6a98b902be9de0b192d9942089da0cfb84

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T17:28:40.205565Z digest=sha256:da0e2a05892aa8bbd0edb070d1959a40b6d8b85419ea07aa1b937a211a8be61d

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=sha256:8a8213c741f046dc9efcfb4a330765cbed1b402df0be727ead229528c0565b0f

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

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source=arxiv_source observed=2026-08-08T17:28:40.214666Z digest=sha256:0236a5e2fcdb32ef3db534642b033a08b82010fa0076fd73f4c945ad27b52a1e

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T17:28:40.219591Z digest=sha256:6969945b47c9f9c718a9f716be473bd40b61fa29dcd2ec96d9ab4656b100c582

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

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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:d066dc16a306760de9c1233f5ae9cf6c7442332c4e42622850b48c760e53a871

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:c9d62a40603d0f17c81785518b6075a3cc564e4dc275e19adb78cccbd2bbaf19

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:b813ad3de5a80dfa28add2dc6358f9eb291a9a3d611448153cb0f0725e545408

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

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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=sha256:1cb7120689459aa525f29557def72cb6f742a484f157db4ed87deca458c478f0