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Paper Citation Record · LEDGER

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2508.21622.

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

pith.paper-citation-record.v1
2508.21622 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:12:38.536443Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T12:24:32.832030Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 975affa1-0a14-4e20-933e-577f43d665fc · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:42.938493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.166747Z digest=sha256:65c6e4980b5a136f93e18950124e2e91d7d2c1d672dad274db5cd7c8cec69d21

Observation d8b9fcd4-17d7-4719-9982-93c3e1628a6e · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:42.728985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.258196Z digest=sha256:5a3cc50cc6eaff326eb290bd2f9db8c87365db8da030d11792da3e92450d102a

Observation 296f6afd-bb21-4fa2-8433-73d209c41829 · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:42.544051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.424719Z digest=sha256:347c3657b50f7474eae90225a81d7b074cab6f386f72f392caa0c2df025b4a83

Observation cc81463d-6cd6-4ef2-9a07-55448a910fe5 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:35.576978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:35.576978Z digest=sha256:7d9e596c354ad2c4c363b490a82602a74d1458beb1e5ecb47ba3c0715b8ba391

Observation 05b57b53-b4db-47ab-8de5-2aa30121cba5 · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:42.373529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.686744Z digest=sha256:a8fd1c01ade0d7fcd576dc8c6e9a86b788be5c225ff5f33da5a8d32d2d66bff0

Observation 822f75d0-27ac-4f24-80fb-2fc354826568 · outbound

This paper cites Mostajabdaveh, T.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Mostajabdaveh, T

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:42.220995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.764042Z digest=sha256:f0ff01cafbd53520e56e81cd55f72694e7f6794f290e2eb806e40392e85116b2

Observation 9bf32dce-d807-4f76-bede-163ddac61b19 · outbound

This paper cites Large Language Models for Supply Chain Optimization.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Large Language Models for Supply Chain Optimization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:35.831984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:35.831984Z digest=sha256:f182d2c2a9aca5980c31ae4bc85bce3691e4fe4eeb1ca0ebb4061e99d156e37d

Observation 6c47ad80-3bb0-42f5-b28c-58fdf4b2e931 · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:42.015810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.899991Z digest=sha256:fe6f261cfcdb9725c269e361b363f53438f006550e790d49ca92fbd705e9ec4d

Observation b366738b-ad8a-4ed3-9474-db75673a925a · outbound

This paper cites Venkatachalam, K.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Venkatachalam, K

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:41.876663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:35.978833Z digest=sha256:77438af3bc7f97a2469dec5519af990cfd2d6e51f2913d73b0ce34d0401d56e3

Observation dc46648c-48b0-42e5-b29e-f0e45475a358 · outbound

This paper cites Taghizadeh, S.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Taghizadeh, S

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:41.692553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.046636Z digest=sha256:49c867deaad85b24aa1ba4aba97d6f856b9659b047e097e641b9e28d47746b29

Observation b247c14a-d7d6-430c-a799-c31c7b06e9f2 · outbound

This paper cites Venkatachalam, A.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Venkatachalam, A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:41.518270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.125760Z digest=sha256:6546e8d9697a342c28dfd1f8cb5d5185d74ed1f4565af9670c0a9894d8abaa5c

Observation aa9f950d-3dc3-4966-8d8e-ec55902a7528 · outbound

This paper cites Taghizadeh, S.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Taghizadeh, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:41.307516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.225788Z digest=sha256:cf1c349d447a7353e91708bb0cfcb1c98898b3084cb425c10e625845a650445f

Observation 144a4e06-b3d9-4eaa-8722-2f4dea754887 · outbound

This paper cites Venkatachalam, A.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Venkatachalam, A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:41.152213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.310153Z digest=sha256:7ffd7e8ce61143e2ab931ae2aa030465efb1ca6c3f7ec9abd7fb418b45dd2139

Observation a4d2e721-f2f1-42e9-a745-fc8739be9c7a · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:41.000471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.400531Z digest=sha256:51e62f9a108cfe4f8a6f27ae2fc5daface9ed2977c0a2aa6a4c4e51469f124bf

Observation 1a9d43c3-cb68-4397-841f-8a0e8eefecdd · outbound

This paper cites Pourhejazy, O.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Pourhejazy, O

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:40.841967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.458366Z digest=sha256:74fc794aa5fee72cc58592f0e80907b9b715d8165ae0b7cea54c2262937c4fc2

Observation 95667c22-3b33-442d-937b-102ae28da20c · outbound

This paper cites Nickel, C.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Nickel, C

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:40.640785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.543445Z digest=sha256:aa3647ee8d5c71339339f1cdad2fafbaf386f180bb55201413e1db6bca7c8408

Observation 27d26480-819d-48cd-8bb8-242b57cc6c12 · outbound

This paper cites ˇCyras, D.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study ˇCyras, D

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:40.437933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.631458Z digest=sha256:c6a966f877df9fd32d41eb982a5a3c85096cc5ef1ff7bd88b9e334015ad45324

Observation 50deeb44-82ec-4439-b422-816ad3ba9d1b · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:40.216395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:36.722957Z digest=sha256:2c78c375a1c2278f2cbf34d9b4bd85c05b0b1553a9c7b476b260c28617b556e4

Observation 3681e828-56b3-412c-9204-5d1814fe679d · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:36.793402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:36.793402Z digest=sha256:470959c18c3b8f396fe5179bccb19dc4c3a6a2201557b5d7a79c4c6789a77667

Observation cbe11916-88bc-4d87-bf93-d2cb903c1beb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:36.898119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:36.898119Z digest=sha256:9d3db7c4a6264e760617c3cac7f48b62e7073605f3f1b342b0fa7a24b74aa506

Observation a4ae0f93-69f6-4b42-bd56-ef34d58e9ef1 · outbound

This paper cites Rosset, Turing-nlg: A 17-billion-parameter language model by microsoft, Microsoft Blog 1 (2) (2020).

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Rosset, Turing-nlg: A 17-billion-parameter language model by microsoft, Microsoft Blog 1 (2) (2020)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:39.963699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:37.006186Z digest=sha256:aadd44f40be77082230f5a6e28686d6a556f73929e863b121b686b5eeb88564f

Observation 48c4c3d1-1bc5-4c7a-9ab4-81383c8a8a4c · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:37.071923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:37.071923Z digest=sha256:5fcf5304fb2caec018903507c0d06007864e13eb1bf757a882c97acd9a249d74

Observation f0633aa2-fe77-4ad1-a7ad-a6b9e6d4c208 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Prompt Injection attack against LLM-integrated Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:37.214355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:37.214355Z digest=sha256:0e06ca36e9d560e87f2b2a8765bbaf790681c13c473ef83127cf383045abfac8

Observation 7b9ce5b4-75d4-49d4-a663-6cbf7255de9d · outbound

This paper cites Brown, B.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Brown, B

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:39.747169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:37.219211Z digest=sha256:eb28f3508ef3f96df964eb86de7648dc8a11e05184219fe605e463e634b9eebd

Observation d8885e70-ae83-4053-8f62-967a690ed5df · outbound

This paper cites A Survey of the State of Explainable AI for Natural Language Processing.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study A Survey of the State of Explainable AI for Natural Language Processing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:37.272487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:37.272487Z digest=sha256:231da717762f0c7e5ee9bfd4429b9ab4933cd97c3b4292c4c6ad9ee772027544

Observation 6276bc27-3c35-4e8a-a09f-4e1434482117 · outbound

This paper cites Ahmed, G.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Ahmed, G

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:39.555999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:37.395691Z digest=sha256:b90c0b84436777e77413fb7c55b9b86b5d33a55a3be4597edc0dc7b2604d2085

Observation 269ae1db-353b-416a-8a01-3193a60d9e7f · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study On the Opportunities and Risks of Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:37.591537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:37.591537Z digest=sha256:f4e67ca6fecc8d4d48cea410766eefa6a84fc389ca0a74a93fe6137f07b89305

Observation 1dd809ed-461a-4663-b78e-56f4c2137ff8 · outbound

This paper cites an unresolved cited work.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:12:39.367448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:37.719870Z digest=sha256:6951054db3e076027c42e8112002a7e1ece08a40591ce2749e9e40ae92536394

Observation bdfb23bb-062e-4418-b0aa-de1334f8b728 · outbound

This paper cites Schwarz, An introduction to scip, University of Bayreuth (2010).

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Schwarz, An introduction to scip, University of Bayreuth (2010)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:39.173766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:37.863102Z digest=sha256:47b752ef8c9b38193dcccc921584bd5bfeab955bafe732f43b0273033442612b

Observation d233591b-d219-4a1f-8d76-7c0e51ad6c61 · outbound

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

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study LLaMA: Open and Efficient Foundation Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:38.022592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:38.022592Z digest=sha256:ab045f5f4fff25c97a80c7f4598ad2a9bc5cb9cd8f7b1c1fbad83bd0e8a5df8a

Observation 5970bfc4-a4ca-4196-8074-c0df17d1b0b9 · outbound

This paper cites Weiss, T.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study Weiss, T

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:12:38.954607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:12:38.171474Z digest=sha256:32bc1e5d0b092c782ca163ff5d658512f1985b6ad159baa2ffa643c2302eaa59

Observation 0edbf926-c90b-4ac4-8be3-12806f3ffd27 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:38.390956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:38.390956Z digest=sha256:1cd2c5e50c1179bce4d19bdac453586cc29d0d4e8aac424458b5f1f2a7ce5843

Observation 0a053b7f-9487-44b6-b667-42083971405f · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study QLoRA: Efficient Finetuning of Quantized LLMs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T14:12:38.536443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:12:38.536443Z digest=sha256:92611b7ebe4712c0fa3508a22f2649154e51351cc573a3b4c83fb99b5dacc193

Pith citing papers

Observation 1d530f80-5a0e-49da-9019-76a57ab91f02 · inbound

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers cites this paper.

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:40:33.192894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:40:10.971282Z digest=sha256:3f11a50e673d27061a980a477a21ede161c67bcc1a157b18f1e4b4cb79a5c2e5

Observation b02e2a23-27b4-4d79-8c88-5967241c87fb · inbound

Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering cites this paper.

Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.041934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T12:24:32.832030Z digest=sha256:6ff13ddab907619a43bb1481967bfd7fb4e0b3783a172271c472b680e76bdf99