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Paper Citation Record · LEDGER

Data-Efficient Symbolic Regression via Foundation Model Distillation

As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2508.19487.

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

pith.paper-citation-record.v1
2508.19487 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:58.019851Z

measured 59 of 59 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff3033bb-61bb-4aaf-a9c0-01ef7a975f94 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

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Observation aa806745-6184-45a5-8e9a-723323508b6f · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 2

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Observation c687074b-56c6-4f13-9745-6622e5c4018f · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 58af728e-df9d-4b18-b20a-56eb9d3a7b2b · outbound

This paper cites Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage.

Data-Efficient Symbolic Regression via Foundation Model Distillation Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage

Reference 4

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Source-reported events for the cited work

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Observation 61d7d22e-34e8-47a1-be5d-04e6d5f40266 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 5

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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.

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Observation ca4c046b-55df-4201-a7a7-965d84d0b4b6 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6465e0cd-d760-41cc-86c4-258f8f7c48cf · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 7

Resolution
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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.

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Observation 48e44be6-77c2-4257-b296-17e62f1f090e · outbound

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

Data-Efficient Symbolic Regression via Foundation Model Distillation Contemporary Symbolic Regression Methods and their Relative Performance

Reference 8

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Observation ba312eff-4ee2-4199-aaff-b2108789cf1d · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 9

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Observation 3d93f579-bac5-4acd-a266-0ab838479297 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 10

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Observation be2c13dd-80cb-4eb2-859c-c6c5fa3e1194 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 11

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Observation 51a5e238-d6eb-47f3-ac32-df95c3e6927a · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation d2888d08-5068-468c-94f1-e883d8b654f4 · outbound

This paper cites Hierarchical Neural Story Generation.

Data-Efficient Symbolic Regression via Foundation Model Distillation Hierarchical Neural Story Generation

Reference 13

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Source-reported events for the cited work

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Observation d07e08b4-8fd3-43ea-a221-68ebc86080ec · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 14

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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.

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Observation 8718a8b0-317d-4158-9a5c-e5faa87cb122 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Data-Efficient Symbolic Regression via Foundation Model Distillation Sequence Transduction with Recurrent Neural Networks

Reference 15

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Observation 75785e51-ef44-4be8-9009-bbf82e3037f3 · outbound

This paper cites Gustafson, E.K.

Data-Efficient Symbolic Regression via Foundation Model Distillation Gustafson, E.K

Reference 16

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Observation fd7d2dbb-d585-40f1-92fb-3656843f8bbc · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 17

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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.

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Observation d946273f-3f4b-41a2-8653-b2dcddb9ae3e · outbound

This paper cites Deep Generative Symbolic Regression.

Data-Efficient Symbolic Regression via Foundation Model Distillation Deep Generative Symbolic Regression

Reference 18

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Observation 8c1d6c70-e9ee-4708-ad22-5b39778977e2 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 19

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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.

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Observation 0f4b1eef-1f82-469d-8078-cd6068773b5a · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 20

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Observation a098f023-034a-4f66-85dd-d16b860ba104 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 291a8de4-788d-4c03-ae78-d0343e192a47 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Bayesian Symbolic Regression

Reference 22

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Observation ee6d1261-c929-45fe-9dd6-d0fcc1d4ab6d · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

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Observation c54ebf7d-cb52-4628-9715-48916f999d94 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 24

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Observation 2265b92e-3664-4c10-b592-ddde7ee655cd · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 25

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Observation 9e6490d5-053e-48fd-b7ab-2d729e58e028 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

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Observation 36f03063-61e7-4f64-a532-66cf7b24f855 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 28

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Observation 860bbf67-7163-43dd-a40c-9c07ea0ebf36 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

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

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Observation 3210bccc-bb80-4c6b-b16c-2059b1dbab47 · outbound

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Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4e2e4568-a381-44a8-8d63-54fdc0176a7b · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 31

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

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Data-Efficient Symbolic Regression via Foundation Model Distillation Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 833c2d83-01c8-4358-9123-f9dff3665961 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29135be2-d22f-4303-a2c8-2f5fecd7a4a5 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 508430d9-8b6f-4f25-a801-2812b4ff8303 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 35

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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.

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Observation 77cdb5b3-360c-4201-9fc8-df47e1d83cbf · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4580a8b1-70a6-4e27-a3e1-f3cad0169d29 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ccaad84c-e3cd-470e-a44b-398f1a108e79 · outbound

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Data-Efficient Symbolic Regression via Foundation Model Distillation Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation baeb8c60-e4ca-4820-bfc6-1ca8742a4967 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2023), 45907–45919.

Data-Efficient Symbolic Regression via Foundation Model Distillation Advances in Neural Information Processing Systems 36 (2023), 45907–45919

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:57.918937Z digest=sha256:b3742443f25357683c42f4dadcf3326fd099bf50b3be359d4f66c1e9426c6160

Observation a5cad65b-5bec-409e-a532-d73c757d92c9 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-15T16:58:57.939170Z digest=sha256:c87b6ac836a405f0794a3f9d0022429d48bd9cf501b255bee21e8ff7feb354a6

Observation b0fc8c8f-c05a-4cd8-9e40-da92941a7b4d · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 41

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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=2026-08-15T16:58:57.944081Z digest=sha256:7a7547f82cf470021112e424d2aeabc452456ce0a498ccfa7c643b6f746b7a6d

Observation 6db2cb3b-52f7-49f2-bbd2-a155605ba160 · outbound

This paper cites AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity.

Data-Efficient Symbolic Regression via Foundation Model Distillation AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Reference 42

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source=pdf_text observed=2026-08-15T16:58:57.933721Z digest=sha256:4d0496dc0e02a7cbad3f6f68f3b7366e896160a5b970548e8fa027d17e869547

Observation a82e9c1e-da4f-4c4c-b38a-d71b4fc7869c · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 43

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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=2026-08-15T16:58:57.954798Z digest=sha256:a7dfa8ebae68bb94149f8e2b5913ac0dcdc58400d8e1762f37d84328241a86c6

Observation 44106d7e-03b9-4444-92c9-2aba84902e82 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-15T16:58:57.959641Z digest=sha256:d19a3eaa812a3d7091b3dc09143ad7f15f0894961d2e0dd32c9fa550165edb72

Observation 395862ef-df21-484e-8f47-5d07dcc5a1cc · outbound

This paper cites SymbolicGPT: A Generative Transformer Model for Symbolic Regression.

Data-Efficient Symbolic Regression via Foundation Model Distillation SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:58:57.948993Z digest=sha256:b3a26e9c402fd7b6be138bdf1aae2cd35a2d8a5e233100a99a69ac3fcb9f2556

Observation 376771bb-6a33-4287-a1bc-8c49ecaa1345 · outbound

This paper cites Sequence-to-Sequence Learning as Beam-Search Optimization.

Data-Efficient Symbolic Regression via Foundation Model Distillation Sequence-to-Sequence Learning as Beam-Search Optimization

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:58:57.974690Z digest=sha256:81639aad7fbad7898d06bee54d8afe23bff203427e10a9b53d38f94d383ba34a

Observation 6f60a6fa-b119-48c1-8e63-d3b73d754a2b · outbound

This paper cites Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback.

Data-Efficient Symbolic Regression via Foundation Model Distillation Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback

Reference 47

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no resolver link, observed 2026-08-15T16:58:57.979800Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:58:57.979800Z digest=sha256:0425d004a8b879b46e398d56e3c04f13f16050f12db7a9801b7651ae309374b5

Observation 10e1ce10-ee44-4028-9182-55ed740100a6 · outbound

This paper cites Topology-aware Reinforcement Feature Space Reconstruction for Graph Data.

Data-Efficient Symbolic Regression via Foundation Model Distillation Topology-aware Reinforcement Feature Space Reconstruction for Graph Data

Reference 48

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no resolver link, observed 2026-08-15T16:58:57.984852Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:58:57.984852Z digest=sha256:c65a7118db523491823002ec0ae476577739e1fd8b5a579c39282089313c6bde

Observation 2cf8f7aa-f32a-4312-bc8c-ae66d753992f · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 49

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raw_fallback, observed 2026-08-15T16:58:58.860936Z

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=2026-08-15T16:58:57.969927Z digest=sha256:cd216bc980ee482a0a4ac3fa263d3e03a30396e4fbb4c7423a4834712065db40

Observation f0aa6c10-55d4-4584-95a2-0ba732c51c18 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-15T16:58:57.995807Z digest=sha256:12683461d82c89b9a1c4467b372b0877caffb23716c371f264c3d40602b75279

Observation 7a64aa53-fa43-47aa-b225-f6c7dd8ebf20 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 51

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

source=pdf_text observed=2026-08-15T16:58:58.000656Z digest=sha256:82fd85d0367d71d61456b701b93c1fc6b8dde28eef21defc67e742399d4dce10

Observation e76feaf5-8477-4d80-9fb4-c633ee8f7c5a · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 52

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raw_fallback, observed 2026-08-15T16:58:58.805314Z

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

source=pdf_text observed=2026-08-15T16:58:58.005641Z digest=sha256:054642475d756429fd20e6636e3da81bf429639044b18f93b887b04d372913c9

Observation 40b58b22-5b96-4503-b171-a55657fce2dd · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-15T16:58:57.990759Z digest=sha256:2462b67930698e32f4381a4c6eeb064e6d63897ddea8d6619a6c7ab370dee0be

Observation 427044f3-82f8-4a5a-844b-3e16b81da9ab · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 54

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unresolved
raw_fallback, observed 2026-08-15T16:58:58.769752Z

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=2026-08-15T16:58:58.014964Z digest=sha256:8f5b1b29e2c5e29e98a7a63df091b901ef644987305aee5e9f1269802e27ead8

Observation 40b3a887-7c8a-4003-9bd7-52b989881210 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-15T16:58:58.019851Z digest=sha256:e5f6e11d68422ae7018460de5300b26d1b021ae2294a7241168f66ccac7bfc95

Observation 0cfb9ba1-587c-4cfe-bcb5-6a3f7cef20c2 · outbound

This paper cites an unresolved cited work.

Data-Efficient Symbolic Regression via Foundation Model Distillation Unresolved cited work

Reference 57

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raw_fallback, observed 2026-08-15T16:58:58.788098Z

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=2026-08-15T16:58:58.010436Z digest=sha256:301fc529cb354e41d50989a1811d2878e8af82c955d22fd6d6939f76456994fa

Observation 82e06b21-13ba-40c7-8493-1bd49b42d4cb · outbound

This paper cites In Proceedings of the Genetic and Evolutionary Computation Conference.

Data-Efficient Symbolic Regression via Foundation Model Distillation In Proceedings of the Genetic and Evolutionary Computation Conference

Reference 2017

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source=pdf_text observed=2026-08-15T16:58:57.964884Z digest=sha256:a52a7ec896bc4c4aa72937c783b9bcc89d2944f199d957635e7a88cc0f601829

Observation 1c61163a-d65a-4ed8-ba77-c3c5bad6388f · outbound

This paper cites Learning concise representations for regression by evolving networks of trees.

Data-Efficient Symbolic Regression via Foundation Model Distillation Learning concise representations for regression by evolving networks of trees

Reference 2018

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no resolver link, observed 2026-08-15T16:58:57.854501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:57.854501Z digest=sha256:acd964f5fa0e1a9a260cd629bb8ea2a747fbdf074154861f55422d31cf359e17

Observation ac16b40a-7831-45a5-9dbe-dc689aea817f · outbound

This paper cites SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.

Data-Efficient Symbolic Regression via Foundation Model Distillation SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 2023

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unresolved
no resolver link, observed 2026-08-15T16:58:57.881740Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:58:57.881740Z digest=sha256:11ae19df97de8869cb1b7486cd1f18ac63d07551b15fa1e2451b9cb6a4c0a2ba

Pith citing papers

No inbound Pith citation observations are available.