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Paper Citation Record · LEDGER

Retrieval Augmented Generation for Domain-specific Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.14760.

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

pith.paper-citation-record.v1
2404.14760 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:35:30.058879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:23:50.790838Z

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 4996e8bc-4c49-4015-ba57-48caaf7475d9 · inbound

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning cites this paper.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Retrieval Augmented Generation for Domain-specific Question Answering

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.058879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.058879Z digest=sha256:0dd3210efa76810dc966e2c0654127b8d5d2e5dc1f848844854de07e2707390a

Observation 61d67bac-610d-4550-84d0-be5303dec181 · inbound

How You Ask Matters! Adaptive RAG Robustness to Query Variations cites this paper.

How You Ask Matters! Adaptive RAG Robustness to Query Variations Retrieval Augmented Generation for Domain-specific Question Answering

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:01.536805Z

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=2026-05-10T15:37:38.876181Z digest=sha256:4d58a22d43dc76be40544981a83a0fc38bb1fc10f20a8c27fd26468d83a69e0a

Observation 8f6e3649-2f87-43d2-95b2-394bb2f45ead · inbound

UCCI: Calibrated Uncertainty for Cost-Optimal LLM Cascade Routing cites this paper.

UCCI: Calibrated Uncertainty for Cost-Optimal LLM Cascade Routing Retrieval Augmented Generation for Domain-specific Question Answering

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:23:50.794466Z

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=arxiv_source observed=2026-05-20T23:23:45.561978Z digest=sha256:cb481d7ac684311602c54ec0bb498826aacb613fdea5fcc0570348a08d9b8bb0

Observation 53f83907-ff68-4042-90a3-afb0635d10ad · inbound

PASC: Pipeline-Aware Conformal Prediction with Joint Coverage Guarantees for Multi-Stage NLP and LLM Pipelines cites this paper.

PASC: Pipeline-Aware Conformal Prediction with Joint Coverage Guarantees for Multi-Stage NLP and LLM Pipelines Retrieval Augmented Generation for Domain-specific Question Answering

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T21:39:03.510019Z

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=2026-05-20T21:35:03.105075Z digest=sha256:1afe578918d809d387052078dd74e0b7bc4628d39950611783e9932ee7b5b50c