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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.166747Z digest=sha256:d2433215e6670b323b77d70067fa2c50d2736c8885dc3b414bb437203e104613

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.258196Z digest=sha256:20f8380ca3dbb4ddcb749616fe466668091663c3c1e2508c1122a9220ce9ae5a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.424719Z digest=sha256:c86e377f9774ffceba28085a49d53efd9e8117f171f14e30580a6d15aa47598b

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=sha256:4dc8cc3efe85a793f940a6b628df04b9c6667e2603fc139cd753a5bc0dc5ae1f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.686744Z digest=sha256:de53ac18d3f1eed2a2da9cac345cf5c48c7f52a96af65794c3faff5f43208edc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.764042Z digest=sha256:32848911ead19d63e3c728b54a399e8145fa0e6e07740f203ab6f345ea6b6f2a

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:c001d0d1830fa68bf68a7f433a60df8d77963583bfde3a2c78d8d8f60f679649

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.899991Z digest=sha256:b2cf41fe612fda3f94b58ff255636472064b1cd745cbbf22ed1b6b03295a10b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:35.978833Z digest=sha256:3d0978a437b4275ec6d0b7e16652459525ef44316105afb1d26c309229c737f2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.046636Z digest=sha256:1ece77cfcee89cd1db0444bcdf16b220f9cc4a42c61bc918c4a5ded06f1be3eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.125760Z digest=sha256:5fba8dc6bd1b2e6b22f11e35d3211bade03a469b4a447ab936bd1a84e2b6ed80

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.225788Z digest=sha256:70111a87533394ffc9c89ae30d629744da852a2dd9ef4093f10e52f718dfc34a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.310153Z digest=sha256:c24fef4ef3ec67a7480828b5e711cab7386c60a51facd74b44bea4eb5a3db9f3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.400531Z digest=sha256:ebca286c005ebbccc268e3c02f0df731539cec37942b078aa6d2cdc57c6def8d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.458366Z digest=sha256:9af2fdd021bd882509b7ac37fedc3d3b338ffa4c54287718b463afc0273e5ab9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.543445Z digest=sha256:becd43a1cccbabba92f25872949bdf350413c99b9a90950acd5fbf682d2c3c65

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.631458Z digest=sha256:4bbde945b08992466f1843e74108846e7dd4b0dd79310c14ef1d6ea30c62565a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:36.722957Z digest=sha256:046e301391912f29bd8c2084c8ee3e7933a2871e23a3da926d0312e2f5b20f9c

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=sha256:91245e685aec779b29ee82db1a36ba478ff9b5d07d5a356e142e6aa712f1d740

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:fd623fc94300e20b97ca3a8646ae4cafc2c6d4320391d0cdc691eed073477a37

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:37.006186Z digest=sha256:c7f6e65435d66674415c80d12a86b10e04df6ed36b696fcce50f0a2774c0e450

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:ea1201237c19304479d671abeca98f396b3254e62a68567c928f311eaa0c76ae

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:ff95a2e5b4dca439b1aa3f760ad25bc832b6981e2ce8d848021a417f1b4cc963

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:37.219211Z digest=sha256:c4d63b29c65ba2d31628017e023fb2d0d14ea9921eca3efcb75d24abfdded9c5

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=sha256:251fe2d2b86ad3fb18d20be9cde52ec8c764a79edb0c2595a725ec69bad2ec1b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:37.395691Z digest=sha256:e99db24f6836cfc171ace9c4fd625f778162509d757a867266724f1ebf2f31eb

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=sha256:53e855cef4bb1da11bb6afd4ca5aabe82e3279677fcea1d9e77258b7767beb30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:37.719870Z digest=sha256:0d10c479bdcbe6b4604ff31d2923cc1a662c2752bcf8d21ea028ecc28931317a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:37.863102Z digest=sha256:f9447f3f7a5d1c0c98f791a437c6153d57c90064e9eb577198886c0914dc5a69

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=sha256:8c2f65bef672db6fc3c04a94c47d7a14519a82e0050a921e8c867ec64326a468

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:12:38.171474Z digest=sha256:9d3baa8d498d921d0bc2a525b697721ebf7e03dcf44dfff589403e12b165999c

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:dba309864f4b57731579c338b73a1283c56e3d09597fb5cbd0b1bd8143424e3f

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=sha256:4cc4d3c079c353c959dd6e11ffa99c642d93724230d2e8d575ab9b3f96f93749

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:40:10.971282Z digest=sha256:ca41d60c68d4417549284f19387588b3216b889b4d241ced0be084ef7f28db0f

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

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

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