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Paper Citation Record · LEDGER

The machine learning platform for developers of large systems

As of 17 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 2026-08-16T06:30:59.297886+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:a4e97877e5bd14673c153c5ac1d7d35c1af665d512dc2699d8fb5dc9aa1922b7

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:a374d7eb5e0207be7cf1274cf33260e2261e7daa0410d443cc9d5526f0d000b3

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=sha256:69ac1538c9a8f4bd3755e5c480ff97e9f145e4d0bd2cbe34c11c5800062129ca

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.431139Z digest=sha256:60db75661ac25b9b405f5e244aa3942ae86242653e4313ebcf61f6e919fde219

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:d30ea78fa5440b7a182668267acb5138185d3b5387237df861a542b1051d75a6

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=sha256:429696bd930b9eda9760dae2b4e42c3145e82e1a3b44fa7a5cc5fd7a45ade572

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.449109Z digest=sha256:03d6b367ee1d072d76430fae3b5721ff0bdbbdbfdc975bc8022504cbcc201710

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.453706Z digest=sha256:0bd9fcb001b0a6707385e7a17c01818d96ed906dee0c1dce3abfbd0403145a74

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.458242Z digest=sha256:3fcd81cb200d198e556376c1306d4fc9c22f46f832278006184d888d501eb88c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.462742Z digest=sha256:8b2a464a94a932701026b3076dc936104e6a12a4f374ebe6b3d5c817f2202509

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:33:09.467401Z digest=sha256:5e5c0a59dffb340b02faed0c1cff8d61b849ee6da707ecccf540dbeddee47fe1

Pith citing papers

No inbound Pith citation observations are available.