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Paper Citation Record · LEDGER

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.08960.

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

pith.paper-citation-record.v1
2607.08960 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:30:10.497783Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bd61776-e48d-4574-9940-bed6c3434d06 · outbound

This paper cites 2026.Amazon Bedrock Agent- Core Developer Guide.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution 2026.Amazon Bedrock Agent- Core Developer Guide

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:32d5a60bdb29e287a08e5654e60d6acdf3199a122e5015232b025691f9f85901

Observation 0d8d235e-bea8-4cda-88cc-f30d8bc5c0a4 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution FireAct: Toward Language Agent Fine-tuning

Reference 2

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:50b5312bc4691b4125b23634f31f2f67144979eb08dce3f3b01b1ebdbdf31069

Observation d3b53b5e-7010-4880-9756-58fbf2ba0063 · outbound

This paper cites Generating Structured Plan Representation of Procedures with LLMs.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Generating Structured Plan Representation of Procedures with LLMs

Reference 3

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:19d96c8de1298da08b693414531039b135d82e5a21280369eff6f1f32441cbc8

Observation 96b5cd9c-ad39-4b2e-be69-0bc8fc4175bd · outbound

This paper cites Agent-S: LLM Agentic workflow to automate Standard Operating Procedures.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Agent-S: LLM Agentic workflow to automate Standard Operating Procedures

Reference 4

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:bea23799bb618086664ae29c1ffa5bc8c345cf50f606bacd71d05207edd6d7ce

Observation ebf5244a-45dc-4e21-a84f-bc7eca4e0a0a · outbound

This paper cites Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez

Reference 5

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:abb4e1ae2248ecb0fb71feb50ba02583d850e22e539995673b1d5e7bdc08a65f

Observation 4d63d699-be8e-4a5b-bf0b-bd3395c88e0d · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Gorilla: Large Language Model Connected with Massive APIs

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:7131fc0f973afdedc7dd5bcf4d2f53a9300f0c68c3258ef9e82b8179c30e8700

Observation 3295a65c-9a44-480a-8ed1-c8fb9bff5bf2 · outbound

This paper cites InCompanion Proceedings of the ACM on Web Conference 2025, pages 422–431.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution InCompanion Proceedings of the ACM on Web Conference 2025, pages 422–431

Reference 7

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:95d5906820d4b51c3c0fbad9e7faf3d23134d774c24dc7a49f88d1d5e610d601

Observation c4722573-1a6c-457f-abce-d940073a70f3 · outbound

This paper cites https:// github.com/strands-agents/harness-sdk.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution https:// github.com/strands-agents/harness-sdk

Reference 8

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:8c2cac0edf32b61994af25e42e07fdbb53402c678f098baed39ab49379af3294

Observation de8a8f9a-648f-4b48-8be1-b45a054855ad · outbound

This paper cites arXiv preprint arXiv:2510.08942.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution arXiv preprint arXiv:2510.08942

Reference 9

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:a19900822816b1870cfd3adc20f83a8437fca3c4c727dd16d28472a10f47bc08

Observation bfe92487-0871-42db-9d1f-45e5eb46e2df · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 10

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:5128ef9cd8a261cfc8938c78a77e690393df73a2a70aec6146fb5cf08e476d19

Observation 53c63a61-6a83-4d96-81ae-8bcafce3dfd5 · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: EMNLP 2024, pages 10883–10900.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution In Findings of the Association for Computational Lin- guistics: EMNLP 2024, pages 10883–10900

Reference 11

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:f3e5d946a8d60fb75157a81d042154ab025a49437d098278e26f35ac9dd56824

Observation a577e6af-f8a0-4159-847c-ef0e62340721 · outbound

This paper cites Qwen3 Technical Report.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Qwen3 Technical Report

Reference 12

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:56bccce68e56807bcc24e5eb34e2464ff8f6e21f4de35617e99b2ff82f53e7fc

Observation ae777361-234a-43d5-a100-fbfb2e78155a · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 13

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:11b692a6fcb16c2315dbc2164a1c6eb6c05ba4a29c9854ad1f467b9293d1211c

Observation 636e80dc-7579-4865-b097-cd1c317c8775 · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 14

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:25284966f77bbdb28c191cc65e3264acdaf2172e1b62f9f4d21ed958092d89dd

Observation d17e3603-8b52-4da7-911f-7f990c210d46 · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 15

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:d6612b9bb5b023065a84e357ad2149722f66eb63daf0e01785b2090bae2c1067

Observation 8727b6d7-e9d8-4265-9e3b-e164b4ed2553 · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 16

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:f31bf0123d9e3d6958a318a7b47cba0d9a513634eb3e4afdc510edb4398086fd

Observation 319927d2-6c40-4e52-b46c-42823e237844 · outbound

This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution Gonzalez, Clark Barrett, and Ying Sheng

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:34304f83df593a0ca8b2a36d0d95520be834b2f676bfb7993fccaefa8255cd4c

Observation f02c5d9e-99e8-45ea-b790-2ee3380e6a1a · outbound

This paper cites For Qwen3-32B, we use rank and alpha of 256, learn- ing rate 2×10−4, and train on 64 H100 GPUs.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution For Qwen3-32B, we use rank and alpha of 256, learn- ing rate 2×10−4, and train on 64 H100 GPUs

Reference 18

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source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:24d5f7f459a1532d084439c86fd3a7ece06e3be278c3d49fb8f1466d49639e7b

Pith citing papers

No inbound Pith citation observations are available.