Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2206.10540.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:46.181310Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:49:48.113455Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 15c35e04-fc7e-4d1f-8635-c5585de70c0e · inbound
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond cites this paper.
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:02:19.855709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebc08347-cf32-4880-9e68-52ef31111067 · inbound
Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery cites this paper.
Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:06:46.181310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d1835e9-c08f-43ce-b3c4-32a179be2a50 · inbound
Exploring Multi-view Symbolic Regression methods in physical sciences cites this paper.
Exploring Multi-view Symbolic Regression methods in physical sciences Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:35:35.270599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58484905-aacc-48e8-a641-0b90caacce62 · inbound
COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC cites this paper.
COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 166
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:26:14.343066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 31a3ba92-33d8-4095-ad60-82d511ab361f · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:36:25.137750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation db4053fa-22f2-4b66-b4ea-014257d83342 · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T03:22:10.250689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3bcd47cf-7a6f-4aca-a8f6-3a2f3278e050 · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:22:59.516662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa173da6-6cae-4418-b6b4-c599a8082c12 · inbound
Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents cites this paper.
Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:49:48.117044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abbe5a5c-9467-418a-a50f-e5df02642047 · inbound
Attractor Geometry Determines the Identifiability Limits of System Discovery cites this paper.
Attractor Geometry Determines the Identifiability Limits of System Discovery Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:24:51.740856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.