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Paper Citation Record · LEDGER

The machine learning platform for developers of large systems

As of 15 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2501.13881.

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

pith.paper-citation-record.v1
2501.13881 v4

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:33:09.467401Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f8fe2c2-3976-4959-b3ac-a9a3362faa3a · outbound

This paper cites Evaluation of Retrieval-Augmented Generation: A Survey.

The machine learning platform for developers of large systems Evaluation of Retrieval-Augmented Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:09.414516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:09.414516Z digest=sha256:ef46896b70178e9a4c07507b635bea5c7e765ad34b563da02ad6be23d33d125b

Observation 1fc47f2f-4f67-4ec0-a88e-c2a79d887531 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

The machine learning platform for developers of large systems A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:09.420512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:09.420512Z digest=sha256:b1010e52f84e96e3559012f5c59a8a3d5ee0af018b996df3575093a2ac34cc5d

Observation 379871b6-06e9-4baa-95f1-4ff858987cd9 · outbound

This paper cites an unresolved cited work.

The machine learning platform for developers of large systems Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:09.426001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:09.426001Z digest=sha256:b2bed84b45278c3cd9f75bb0a95e9d5c8df4fe6f36315cdb1af03c136be2d96c

Observation be98368c-d58f-4d8f-af62-b82851c3f319 · outbound

This paper cites Interactive AI with Retrieval-Augmented Generation for Next Generation Networking.

The machine learning platform for developers of large systems Interactive AI with Retrieval-Augmented Generation for Next Generation Networking

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:33:09.549291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.431139Z digest=sha256:1d0f0669fbfcd0e32f5e841a4267abeba2df15e9889d2bb06988c20e4897cf28

Observation 9cacd273-f831-4268-a14c-144cd30bcbf6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The machine learning platform for developers of large systems LLaMA: Open and Efficient Foundation Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:09.438449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:09.438449Z digest=sha256:969f7c424a05c0bbcbaa673dede5651a497450048948756b4483927fd9d04378

Observation f0b32837-6400-4fe1-b8fc-f4b89dc2414f · outbound

This paper cites Mistral 7B.

The machine learning platform for developers of large systems Mistral 7B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:09.443732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:09.443732Z digest=sha256:fab19ae598570d7157d3d65a6cf8fe63a5fab6dd8c1b9b436687f80c0cbff50d

Observation 5c59ad9a-2320-421c-8b34-b091a2191a66 · outbound

This paper cites an unresolved cited work.

The machine learning platform for developers of large systems Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:33:09.777325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.449109Z digest=sha256:e5441f551375f206f7af729e8d5495eee4405450e1b960eec830a417e9099eb1

Observation 435a99d8-8a76-4f4d-9e8b-8dba579fcc7f · outbound

This paper cites // https://github.com/streamlit // [last visited 2024-10-28].

The machine learning platform for developers of large systems // https://github.com/streamlit // [last visited 2024-10-28]

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:33:09.762016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.453706Z digest=sha256:ea002fcd10505427474caa558cf2de14c7d4a7412b9597d2923f9f84f650f882

Observation 70eddc71-a540-473c-bf66-130b27e45f65 · outbound

This paper cites an unresolved cited work.

The machine learning platform for developers of large systems Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:33:09.746005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.458242Z digest=sha256:249cbe2abb0492ea16efb7d45522eb0fb7bc070c91785dd3822a2dd38e62c396

Observation 33428c4d-54ce-467c-9c95-1f3b8d4636eb · outbound

This paper cites an unresolved cited work.

The machine learning platform for developers of large systems Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:33:09.730123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.462742Z digest=sha256:757a431e61d8a9ae029b7d151aeb6540670b65b106f168781641d11776715160

Observation bc26ae4f-29bf-415e-82c6-d3483fbc267e · outbound

This paper cites an unresolved cited work.

The machine learning platform for developers of large systems Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:33:09.711992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:33:09.467401Z digest=sha256:c96583b9cdbc1370a06fbd17f46a53fc97b20c7f38ee81d68ec0830d90f2311f

Pith citing papers

No inbound Pith citation observations are available.