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Paper Citation Record · LEDGER

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.03184.

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

pith.paper-citation-record.v1
2310.03184 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:47.315194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:05.346669Z

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 6b9f175b-09bf-4290-a1c0-5860167f218d · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:47.315194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:47.315194Z digest=sha256:e53bbba0a0093ba96d9c6e057ed648995a5c612fa68c5d7d34187620f3e129da

Observation 63e60965-5187-41c6-9287-5aa2a4dd918a · inbound

Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders cites this paper.

Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:49.180573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:49.180573Z digest=sha256:0f1c2f16c4ee000ed774f48b3cc05635273fcd5ed03d7c67ec5103bf15d0f0b9

Observation e1bb0172-2019-427c-9b51-afeb4ba1e15f · inbound

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs cites this paper.

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:05.352338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:42:59.063869Z digest=sha256:e13806c20f3abf5f37adc752c68f41b9fe7f2cd41929995012d5075c140cb025

Observation 3b8d4a2e-c8cc-47be-b732-5c4d71e24773 · inbound

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation cites this paper.

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:44:38.053321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:40:30.734804Z digest=sha256:2efd9db51a0882292bd841d4f440553aa054092007a595fb1330993d7d0e67c2

Observation bf486415-18e9-4dce-a166-6ef86202997c · inbound

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:10:22.965372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:38:00.482850Z digest=sha256:e4d0ecb6717f8b6268bee1fe23ba9c549f05e2c1a584c96054c0dbc2d3ed0ff7