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Paper Citation Record · LEDGER

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.13101.

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

pith.paper-citation-record.v1
2407.13101 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 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:46.455760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:34:53.197189Z

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 e4dccbff-1fc3-4a5b-9132-5cf9dadde5dd · inbound

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering cites this paper.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:46.455760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:46.455760Z digest=sha256:f1c7002035b78f7110fc62354db14b3733c01086bbb7cd24d088c68a917f89e1

Observation 187474a9-8226-4269-b1ea-7866cf7a20c0 · inbound

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning cites this paper.

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:34:53.200359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T13:34:27.152447Z digest=sha256:8e5914bd0adcf8f8cb4f2c0028dbdc8470674cf881fdfe895566680160048b05

Observation ee1d3ed8-7396-4a70-a8b8-17c0146673a9 · inbound

Small Encoders Can Rival Large Decoders in Detecting Groundedness cites this paper.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:28.413602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.413602Z digest=sha256:f100e8360e7c789d1f911f21a0e2d05447cb23c3c7cdaff6d823539d90e549c4

Observation 7d9c0d5d-f749-41f9-92cf-05e342be3933 · inbound

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering cites this paper.

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:06:49.822977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-18T20:04:52.852253Z digest=sha256:db1d4b47e6c3f4ab2ce2558bde7740b3dfe3c6ccb19d4e4f39e5ea53b6dadc8a

Observation 9dde119e-27dc-47be-9a42-4303d7be0c14 · inbound

From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented Generation Agents Development cites this paper.

From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented Generation Agents Development Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T14:52:46.080118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:52:46.080118Z digest=sha256:8a9caaa3a6e99d4f387bef39e63cafa1589ef5ac5cb6c0b13dd73313bff8c5c6