Paper Citation Record · LEDGER

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.15567.

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

pith.paper-citation-record.v1
2506.15567 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:56:33.014843Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

verified exact0
verified fuzzy25
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e693ce1-1ce9-4214-a66c-83ec8a02351c · outbound

This paper cites SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:28.851610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac916f8-94a1-4498-98aa-ebc81842faed · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:28.935710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5b7651-2ee5-4e7d-88c3-1e66a0868a8d · outbound

This paper cites Prompt Engineering Guide,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Prompt Engineering Guide,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:28.991311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c60ca5-2956-4c31-b0e4-cdf367fe71a9 · outbound

This paper cites Towards an fa chatbot with retrieval- augmented language modeling,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Towards an fa chatbot with retrieval- augmented language modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:38.117211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3fbbbc2d-a415-499b-9b62-91c0ed478ef6 · outbound

This paper cites React: Synergizing reason- ing and acting in language models,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents React: Synergizing reason- ing and acting in language models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:38.104550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f92e024-93e4-48f9-8858-01ec285ebe3f · outbound

This paper cites Attention Is All You Need,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Attention Is All You Need,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:38.092069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12e8b5bc-9b2d-477b-97dd-d7b624694584 · outbound

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

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.248923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a35317f-a2bf-4437-b256-23f7c2529b01 · outbound

This paper cites Explor- ing the limits of transfer learning with a unified text-to- text transformer,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Explor- ing the limits of transfer learning with a unified text-to- text transformer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:38.081404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84d96c38-9683-4fcb-a46b-d91e32be739a · outbound

This paper cites Language Models are Few-Shot Learners.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Language Models are Few-Shot Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.406064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98318357-2094-4095-95d1-61229216c72f · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Fine-Tuning Language Models from Human Preferences

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.518457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcdd3f44-cbae-474b-b184-38056ce863df · outbound

This paper cites Training language models to follow instructions with human feedback.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Training language models to follow instructions with human feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.623904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73520140-d622-4b5b-9c49-d9fcb38d0f5a · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.683321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73432138-934d-419e-9dee-655b3e9d19b2 · outbound

This paper cites Retrieval-augmented genera- tion for knowledge-intensive NLP tasks,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Retrieval-augmented genera- tion for knowledge-intensive NLP tasks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:37.993157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d3e04ee-0175-4f03-9997-27793c869814 · outbound

This paper cites Chain-of- Thought Prompting Elicits Reasoning in Large Lan- guage Models,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Chain-of- Thought Prompting Elicits Reasoning in Large Lan- guage Models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:37.734793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89096d68-edd9-4d3a-a355-2ab2782e1a09 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Large Language Models are Zero-Shot Reasoners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.879738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a645a67e-703c-4677-90bd-4304def4d914 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents The Impact of Reasoning Step Length on Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.986682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707b60cd-91fe-46ab-b80e-4d6beae37a85 · outbound

This paper cites Intelligent agents: theory and practice,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Intelligent agents: theory and practice,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:37.514500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e790f08-4979-436b-aeae-b826d0442e47 · outbound

This paper cites Intelligent agents: The key concepts,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Intelligent agents: The key concepts,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:37.329283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7b42593-dd0e-402e-8d1d-452037340163 · outbound

This paper cites Towards large language model-based personal agents in the enterprise: Current trends and open problems,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Towards large language model-based personal agents in the enterprise: Current trends and open problems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:37.159398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b47cb9cb-7559-4200-85de-ab83cde669ed · outbound

This paper cites Augmented Language Models: a Survey.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Augmented Language Models: a Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:30.354980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddfce4b0-6ba3-4462-be95-7d89fe1d0b94 · outbound

This paper cites A survey on large language model based autonomous agents,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents A survey on large language model based autonomous agents,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:36.893814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74ae9f8a-a2a8-49db-b764-615e14316956 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:30.567699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002817b9-4106-4ac6-a836-1a61469fc3f7 · outbound

This paper cites An In-depth Survey of Large Language Model-based Artificial Intelligence Agents.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:30.673887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 328dcd47-4894-4a35-8bef-7792777b6a12 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:36.676808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f034699e-1597-48f3-a39b-99991e33ecc4 · outbound

This paper cites Mixtral of experts.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Mixtral of experts

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:36.433502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1af2935-bc14-4f2c-b965-8a9d9912be23 · outbound

This paper cites Llama 3: Open foundation and instruction models.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Llama 3: Open foundation and instruction models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:36.188883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93a536d7-a8a1-404b-b7af-ccdff4c240a6 · outbound

This paper cites Plan-and-execute.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Plan-and-execute

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.973257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5d52ee8-7558-4179-a869-63211d5220fb · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:31.179589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffca2dd6-bf10-46c2-86cd-6a3d48f6cf9a · outbound

This paper cites Observations relate to observations made in ,→ analyses of devices and can be observed failures, measurements and general findings ,→ from analyses.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Observations relate to observations made in ,→ analyses of devices and can be observed failures, measurements and general findings ,→ from analyses

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.819289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a1e86f6-6ffb-4812-a764-e8c0e9204c68 · outbound

This paper cites The hypotheses must ,→ explain why the observations occurred and can be potential root causes or potential ,→ failures.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents The hypotheses must ,→ explain why the observations occurred and can be potential root causes or potential ,→ failures

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.665863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4038e2e2-2f55-446e-8781-567cb00b6325 · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:35.536163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b57c9fa8-e110-4aa9-b8f4-92e7a5dc05f3 · outbound

This paper cites PinShort.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents PinShort

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.425067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9315865-0a06-4d7e-9631-6f5ea9a49fc7 · outbound

This paper cites MetallizationPinholes.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents MetallizationPinholes

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.265366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 683ad5bd-22b7-4805-b640-e2611c6ad7eb · outbound

This paper cites ParticleShortingPinsLeads.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents ParticleShortingPinsLeads

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:35.128726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31d56cc2-e9d5-45f8-8470-5e3233dedcd2 · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:34.960172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acf74a8e-5816-44c5-9507-4bd291b26f43 · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:34.801729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54935cc5-388e-4044-b7eb-2efa6ff062db · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:34.666696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36fc0d03-2a39-4bdd-a969-00b5ae5a71d3 · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:34.550991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de639038-6fe4-447a-8c38-151329063b7e · outbound

This paper cites You can select actions ,→ from the given failure analysis information or given tasks, but you can also select ,→ actions that are described in previous analyses.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents You can select actions ,→ from the given failure analysis information or given tasks, but you can also select ,→ actions that are described in previous analyses

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:34.364532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9f51f23-7f4a-4647-ace8-ea3133725d80 · outbound

This paper cites an unresolved cited work.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:56:34.197570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9f62e05-fd9b-41dd-a492-27f9896e51f3 · outbound

This paper cites ,→ This will help confirm the intermittent behavior and irregularities observed in the ,→ VDDM curve.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents ,→ This will help confirm the intermittent behavior and irregularities observed in the ,→ VDDM curve

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:34.045050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85a9fc2d-af04-4832-8b4d-f9525763a1a9 · outbound

This paper cites This can provide initial visual evidence to support or refute the hypotheses.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents This can provide initial visual evidence to support or refute the hypotheses

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:33.889504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8c714de-9d11-4fca-b5bd-aebb79bab2e9 · outbound

This paper cites This can help isolate the physical failure fault and provide insights ,→ into the root cause.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents This can help isolate the physical failure fault and provide insights ,→ into the root cause

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:33.733537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41549bfe-20a2-49ae-9a51-52bd53c6eeb6 · outbound

This paper cites This will allow for a more detailed examination of the bonding and ,→ potential corrosion or moisture-related issues.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents This will allow for a more detailed examination of the bonding and ,→ potential corrosion or moisture-related issues

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:33.578623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e58e627-d896-4ef6-9c2b-00f610469527 · outbound

This paper cites This can ,→ provide more detailed information on the root cause of the failures.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents This can ,→ provide more detailed information on the root cause of the failures

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:33.375049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.