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Paper Citation Record · LEDGER

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU

As of 13 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2411.13691.

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

pith.paper-citation-record.v1
2411.13691 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:19:13.163967Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63a5b19b-b16b-4cdc-a747-c8c424de9bba · outbound

This paper cites online" 'onlinestring :=.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T16:19:13.137303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:19:13.137303Z digest=sha256:5e89aa3ec7086360e565c48bbc1e88b9bfd5ba6fc62a1d37ff285c1c6e933236

Observation f9f9efd0-5da9-4489-9997-8a85f46696a7 · outbound

This paper cites write newline.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T16:19:13.142471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:19:13.142471Z digest=sha256:8e6bc670e9d5f59694d7c80a9bc9bd2d115f8dbd9f1ab6979ef9f0be42e60310

Observation 5b235f63-0b99-47bd-abeb-630728d1c073 · outbound

This paper cites Mistral 7B.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU Mistral 7B

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T16:19:13.147163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:19:13.147163Z digest=sha256:640d83e1887566512c45e45cd79c329b9a3598380964e682e6b85708f4a7f01a

Observation 676c866b-7537-45eb-8d24-30d206804ace · outbound

This paper cites an unresolved cited work.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:19:13.265625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T16:19:13.151514Z digest=sha256:c613256b91f71945154afb7e7423ad254f0abbeb9f148101b68d543b46d86bbb

Observation 68a66c57-07ec-4aba-8824-b2b742fa34ae · outbound

This paper cites an unresolved cited work.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:19:13.250881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T16:19:13.155511Z digest=sha256:cb6bab01d3ba5424c3c7afa9aa025ed3da73c1c30c30059fab5d4da0d1f69f8c

Observation 6a64f90a-0128-47f0-aca0-b87861b250fe · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T16:19:13.159650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:19:13.159650Z digest=sha256:79840425ac9eba5ede1d53a9e7c955ae859d17d6e024ce9187002b18f5794059

Observation aa671583-ad17-42eb-a054-1cf0c6990d78 · outbound

This paper cites Exact solution of the six-vertex model with domain wall boundary conditions. Antiferroelectric phase.

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU Exact solution of the six-vertex model with domain wall boundary conditions. Antiferroelectric phase

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T16:19:13.206412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T16:19:13.163967Z digest=sha256:0037d27442f3a4d62f285a7d4e15bb58e29f40b788b3b204071452854a78a9c9

Pith citing papers

No inbound Pith citation observations are available.