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Paper Citation Record · LEDGER

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.13509.

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

pith.paper-citation-record.v1
2410.13509 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:15.221679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:10:21.535004Z

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 236c859c-c924-4d43-bced-2e6d90b8bf92 · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:15.221679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:15.221679Z digest=sha256:bed59aea35724c6b2b44cfacc31c09a19941e717463eac292edc114951cef226

Observation dfb7ed0d-eff6-45de-bb85-20e5205017b2 · inbound

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems cites this paper.

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:57:26.921775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:57:26.921775Z digest=sha256:019408372e1e64d1573f58e120b53881b6ad89844dfa694eb46acca2da5d6585

Observation 272c7449-27bc-4768-9a0f-15d843de9a7f · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:19.349562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:19.349562Z digest=sha256:c4f3f19180ee72c2516deede116b856e07cb88e93f03ca1202629f9c0d3d494e

Observation 1a8b32f6-f604-413f-bbc4-1c6977ddafc4 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:10:21.538892Z

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=2026-05-15T22:09:30.370382Z digest=sha256:368e5b90a9bef143cebf8a11bac364861b566cbf034a3948da1f4f58e88de78c

Observation 2165ee44-ca0d-4028-bc42-daa570246e87 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T22:57:00.841279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:57:00.841279Z digest=sha256:e62bad454810289784863841cb9d24875a945aa64711428c7d17d31b6ad9615a

Observation 0d1b375c-caf8-4536-9aa6-923f0333435e · inbound

OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search cites this paper.

OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:18:01.303119Z

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=arxiv_source observed=2026-05-13T17:16:09.927267Z digest=sha256:ddba8d4a3c5a6c89c5df35520ebc10f05f2449217254b46ae15d61a36e0275c6