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Paper Citation Record · LEDGER

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2606.21553.

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

pith.paper-citation-record.v1
2606.21553 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:13:21.623267Z

measured 13 of 13 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:43:44.905952Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:43:46.557634Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4aec6f3b-734e-435e-b4ac-5a13e540cba7 · outbound

This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model and Salakhutdinov, Ruslan and Manning, Christopher D

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:ec48371d6499b876cbda19b084cbbf84926ca0c45bdace96e04e9ece6fd850a4

Observation b1c75086-8352-41a9-9d0d-1335e30933a2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Retrieval-Augmented Generation for Knowledge-Intensive

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:81321f8f99345db2003b0fb870b6ba073a949376cf53cb1df5e9798952167953

Observation 05f83451-06cc-48a1-966b-b7cf25a17234 · outbound

This paper cites 2023 , url=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model 2023 , url=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:f4deb90eede5b1e0bf29d0a22438e12b2f9954415b289cf4b975d68d21cd0e46

Observation e60809f3-c9f9-444d-8426-f83b5b057979 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:5682ecfce883c6fbded712aff3d4b91d2d2d859df0679cf188678d7260f344f8

Observation fa5245e6-25dd-49b5-bacd-29085c826469 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:c1985272ff6b97d232e402a286cd4160e32285c05e7dbe7ee9274b8c89b03af9

Observation 0f80b6bd-9556-4692-a48a-fa0fa046e8dd · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:4908dbb929a8701b2e849cdd3daf061351e13cc4c58f5c4dde61cba3e0f3fa57

Observation f2d96548-7e25-4fe8-8a6a-5871e0bf2e42 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:cec21a3197255238242674006fbb7e556c60ba538273af20ef1a3e4c55b6f16a

Observation c1f3468e-f8c2-4624-8a46-bdc93b8bd097 · outbound

This paper cites 2020 , doi=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model 2020 , doi=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:7c4bfec24b96159ab6500bd6be90d2340651152a134d5901304bd6cf785ca4ff

Observation f317e43d-fd13-4014-8f3f-2c531a2c2c14 · outbound

This paper cites Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:ccab6cfa292698a2ceb3b3ea323c631d1fa42247425cb052ad5b38cbdaa2b153

Observation 5a89cb54-06ec-40df-bc15-f36c2d0214c8 · outbound

This paper cites The Probabilistic Relevance Framework:.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model The Probabilistic Relevance Framework:

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:beabca2cdc3382dceb2c542bb3439a2c3f405463f1a39490ea087839cfd6b6c4

Observation e28849af-5df5-4bd4-82e9-dde0358bdc1e · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model C-Pack: Packed Resources For General Chinese Embeddings

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T06:49:37.523808Z

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=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:063e6a663ec5d224c02167f863e4b063d97eae113cabc565b38552396f13a6de

Observation fe12464a-a500-4e3b-bece-355b9b16fbce · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.

Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T14:13:21.623267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T14:13:21.623267Z digest=sha256:1eb256a2c830527f637972a6fb31ab1da149b5270b886e98bb7c55c1177682e8

Pith citing papers

Observation dae74ccf-db72-4d2e-b521-1269e1ec794a · inbound

Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution cites this paper.

Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution Dissecting Agentic RAG: A Component Ablation for Multi-Hop QA with a Local 7B Model

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T00:43:46.561974Z

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=arxiv_source observed=2026-08-12T00:43:44.905952Z digest=sha256:2e2d574f41d6ba874dc9b58ea1f74b1714235b5ba6a59f9bc06d6b39b6619976