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Paper Citation Record · LEDGER

Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.14245.

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

pith.paper-citation-record.v1
2502.14245 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:48.530304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T00:19:16.612596Z

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 be92d59c-6ca9-45bc-adec-d135ca8ce10f · inbound

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:48.530304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.530304Z digest=sha256:f82c2e81d70532fd01f007980cbcd2022f1a557f3af46db73f36a979d532d727

Observation 582ed733-6de2-4f9c-95fd-af9fafa867a1 · inbound

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation cites this paper.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:20.422106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:20.422106Z digest=sha256:f581850384c19b5d257688de6d8764251d0b56189b05d1dbc53b677f9aa3fcec

Observation 8ba11c44-f29e-4042-bac5-7a6bf3058116 · inbound

Question Decomposition for Retrieval-Augmented Generation cites this paper.

Question Decomposition for Retrieval-Augmented Generation Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:23.169941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:23.169941Z digest=sha256:1dac94c489a81a0c35c17b04638145573be401aa2e11e20b4ce50c04a81958da

Observation 2b96cf5b-b401-4d21-9b29-66988c042204 · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.645063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T00:57:25.902674Z digest=sha256:f5c30a0d3424a4aa37e7ab96689beaea843585428b563c7780e092b9691f26aa

Observation 97fcaee8-bab3-444e-9574-0e1752b3f1d9 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 236

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:20.324047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T18:54:06.144968Z digest=sha256:180d4bc6a58fc08364984d952cbfe6b3067edf041567843cd7d838734eb9572c

Observation be6afbc5-b717-4c61-80ae-33ab19ea116d · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.614777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T00:18:32.423103Z digest=sha256:7bfd686797350e4a5e577c4fc7a52fae69bc710e88da4d190a9ed55722e26bcd