Paper Citation Record · LEDGER

Strengthening LLMs for Tabular Prediction with Structural Priors

As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2510.17385.

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

pith.paper-citation-record.v1
2510.17385 v5

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:07:34.633692Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T01:00:20.188501Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T01:03:52.966147Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5d180f7-a1f8-4e2e-9c9d-6b280cb5edb3 · outbound

This paper cites However, the international usage is low, which might indicate limited need for international services.

Strengthening LLMs for Tabular Prediction with Structural Priors However, the international usage is low, which might indicate limited need for international services

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:33.569742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4adae7-69de-40eb-b519-4f99ace0a973 · outbound

This paper cites This could be a concern if the customer is sensitive to international call costs.

Strengthening LLMs for Tabular Prediction with Structural Priors This could be a concern if the customer is sensitive to international call costs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:33.657936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e848f2b5-73b3-49cc-8142-4256a4f0c8ce · outbound

This paper cites an unresolved cited work.

Strengthening LLMs for Tabular Prediction with Structural Priors Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:33.729217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dece652f-8762-4a73-9bc1-e75e5ba623b2 · outbound

This paper cites an unresolved cited work.

Strengthening LLMs for Tabular Prediction with Structural Priors Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:33.834339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc90aa09-7ac9-4bbc-968a-d750689c3d23 · outbound

This paper cites However, in this case, the customer does not exhibit these signs.

Strengthening LLMs for Tabular Prediction with Structural Priors However, in this case, the customer does not exhibit these signs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:33.909781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d9f3441-c468-41cb-afe8-e183e96acb67 · outbound

This paper cites Schaum's Outline of Computer Architecture.

Strengthening LLMs for Tabular Prediction with Structural Priors Schaum's Outline of Computer Architecture

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.031366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f48e8e-264c-4761-bd5c-6f7921b57aa4 · outbound

This paper cites Nick Carter is a known author in the computer science domain, which might indicate a reliable source of information.

Strengthening LLMs for Tabular Prediction with Structural Priors Nick Carter is a known author in the computer science domain, which might indicate a reliable source of information

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.112063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3607ce70-5368-42a7-bdee-f4117d47c064 · outbound

This paper cites This could imply that the book is either niche or not widely reviewed, which might affect the average rating.

Strengthening LLMs for Tabular Prediction with Structural Priors This could imply that the book is either niche or not widely reviewed, which might affect the average rating

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.185420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd9aee7-776a-4e9a-9d90-a0f5dc76138a · outbound

This paper cites This is a relatively recent publication, which might suggest that the content is up-to-date and relevant to current computer architecture topics.

Strengthening LLMs for Tabular Prediction with Structural Priors This is a relatively recent publication, which might suggest that the content is up-to-date and relevant to current computer architecture topics

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.249051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f0c3dbb-3139-426c-9052-5228a5fbcf2e · outbound

This paper cites This indicates that the content has been updated and refined, which is generally a positive sign for the quality of the book.

Strengthening LLMs for Tabular Prediction with Structural Priors This indicates that the content has been updated and refined, which is generally a positive sign for the quality of the book

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.331146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306e1148-4d0c-4083-aa66-271405e7df33 · outbound

This paper cites This is a moderate length, suggesting that the book is comprehensive but not overly dense, which might make it accessible to students and professionals.

Strengthening LLMs for Tabular Prediction with Structural Priors This is a moderate length, suggesting that the book is comprehensive but not overly dense, which might make it accessible to students and professionals

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.393010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13099878-c57d-41ab-af07-68d16c496d55 · outbound

This paper cites This is a positive factor, as it ensures that the book is accessible to a wide audience.

Strengthening LLMs for Tabular Prediction with Structural Priors This is a positive factor, as it ensures that the book is accessible to a wide audience

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.447227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07e6bf6-305b-446f-b6ce-a160057bdf19 · outbound

This paper cites This is a very low number, which might indicate that the book is not widely discussed or reviewed, potentially leading to a less stable average rating.

Strengthening LLMs for Tabular Prediction with Structural Priors This is a very low number, which might indicate that the book is not widely discussed or reviewed, potentially leading to a less stable average rating

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.545746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9a9901-93a2-4a6b-ab04-ad3618eecfd0 · outbound

This paper cites Schaum's Outline of Computer Architecture.

Strengthening LLMs for Tabular Prediction with Structural Priors Schaum's Outline of Computer Architecture

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:34.633692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9624185d-ae58-458c-b1fc-066c5bd8fd99 · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold Strengthening LLMs for Tabular Prediction with Structural Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:13:12.141827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a42f8204-6cdd-44af-bc2b-57ded0474069 · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold Strengthening LLMs for Tabular Prediction with Structural Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:13:12.141827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.