Pith. sign in

Paper Citation Record · LEDGER

Exploring Neural Models for Parsing Natural Language into First-Order Logic

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.06544.

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

pith.paper-citation-record.v1
2002.06544 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:29:42.108781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:16:24.573808Z

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 cdf6610a-3389-4210-9eed-7f211d38ea97 · inbound

StepProof: Step-by-step verification of natural language mathematical proofs cites this paper.

StepProof: Step-by-step verification of natural language mathematical proofs Exploring Neural Models for Parsing Natural Language into First-Order Logic

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:42.108781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:42.108781Z digest=sha256:a3ce9fe1a09078d064c67d993255685fb9269be62c171dc897f7a6395430a1c0

Observation ab0c7c06-3db4-41af-a993-79e79144bdf2 · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Exploring Neural Models for Parsing Natural Language into First-Order Logic

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.779922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T20:45:16.240104Z digest=sha256:fa72ee182b8704fc3646c66a7fa79d7093dcf23d752e7b63930133b7e7c47031

Observation f5de2107-b608-433a-9f97-bff00f17d1a7 · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Exploring Neural Models for Parsing Natural Language into First-Order Logic

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T22:28:41.769285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:28:41.769285Z digest=sha256:f56a74871458ed7f2175f18777c8ef2260d385a050871a6c913c8949ff0a328f

Observation 4c4fa961-8548-4f96-b32b-c6cdd8cb8737 · inbound

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling cites this paper.

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling Exploring Neural Models for Parsing Natural Language into First-Order Logic

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.575597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:29:43.379840Z digest=sha256:79a6f5344d0a7fb26063305847fa7dd12c62438c48103fb700785487c48e0bd1