Paper Citation Record · LEDGER

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.02227.

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

pith.paper-citation-record.v1
2310.02227 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:57.881740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:22.644727Z

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 5aad4db8-dc48-41d8-9b6b-3029eaae4581 · inbound

E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions cites this paper.

E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T14:50:47.570731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31cf98d-eeec-4890-a51a-ff4e711fa8ba · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:12:28.686811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Data-Efficient Symbolic Regression via Foundation Model Distillation cites this paper.

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

Reference 2023

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f453fd29-c22f-474e-8126-ceed53caf4c4 · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:10.116120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80cee8ea-370c-4d30-b929-0b622aa1113f · 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 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:36:25.098996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94451fba-891e-4081-b562-51c38024a2ea · 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 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T03:22:10.254853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f66d099-6aec-4362-a5f6-5d0db1973d35 · 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 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:22:59.488811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abc9cda8-a45f-49bf-adcf-7d0f5036649a · inbound

Symbolic Regression via Latent Iterative Refinement cites this paper.

Symbolic Regression via Latent Iterative Refinement SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.953096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8339a604-0c18-4dc6-8e50-16f6791b6795 · inbound

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification cites this paper.

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:22.646108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.