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Paper Citation Record · LEDGER

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.12982.

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

pith.paper-citation-record.v1
2407.12982 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:18.733032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:12:14.719341Z

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 88159443-2ac4-4c24-8c2c-8c41ded85c59 · inbound

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training cites this paper.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:18.733032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.733032Z digest=sha256:89c94e691a8d9e068b989830ced24c8c9efe90a5a447a6ffed5fb7c44bda79b2

Observation 5691d51c-9200-4812-8f3a-0402b920ec58 · inbound

LTRR: Learning To Rank Retrievers for LLMs cites this paper.

LTRR: Learning To Rank Retrievers for LLMs Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:12:14.722303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:09:50.514996Z digest=sha256:c3dd5a0f1b3266959dd27e53040687c5af1fb7bb6795a5a864a7ba73f3f9d574

Observation fc2fc1b6-cbc3-49cf-9f2f-c05207a1bac9 · inbound

TeamCMU at Touch\'e: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search cites this paper.

TeamCMU at Touch\'e: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:19:46.520590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:19:46.520590Z digest=sha256:c79b388334f58fe57acff57db46cfbd45cb1d8be12b4a9dd4d6378b380a2d918