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Paper Citation Record · LEDGER

Towards Building General Purpose Embedding Models for Industry 4.0 Agents

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.12607.

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

pith.paper-citation-record.v1
2506.12607 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:47.987079Z

measured 22 of 22 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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5729cd75-5951-494e-bf43-3dd0b08e1d63 · outbound

This paper cites FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:45.690295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:45.690295Z digest=sha256:0c9ec38d0bfaee7eee9012ee5fab1d01aa83db23ad17fba1edf8749f6f25295d

Observation 70275cf7-8086-4bc0-af5b-10f869f6408c · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:45.823507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:45.823507Z digest=sha256:c5eee6d1632fdda5c96ffab861c8e95e7578944372f683f3dcb8956a62d33135

Observation 16701c67-0c3f-45be-8d42-4463b3bd8545 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:49.729633Z

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=arxiv_source observed=2026-08-07T00:48:45.930761Z digest=sha256:6e0497a2cc6ffa0baa614accf767818143a463b0e504a964f4978491ac0a2ee7

Observation ce26e949-2653-4ddd-b6e4-2afe60d69b19 · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Efficient Natural Language Response Suggestion for Smart Reply

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:46.050740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:46.050740Z digest=sha256:4ecbea4f7b51807ebf6638803fb9447dac2b9cab011752196b81c0864a643573

Observation 4a975a57-3902-45b9-9550-bb6b24495ebe · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:46.181651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:46.181651Z digest=sha256:e811b5975074eae4a4f85230b273be17668c195bdc0d2b2de4529893658a52d2

Observation f037792c-e8e2-4a5d-b393-400adac182e1 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:49.490148Z

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=arxiv_source observed=2026-08-07T00:48:46.301294Z digest=sha256:ec3b530e8df46f862a6c435ac97e023d87c0723cb115d94a3b9bf613799e8025

Observation 64aa1aea-e3ba-49b5-b392-07fec573a54b · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:49.327110Z

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=arxiv_source observed=2026-08-07T00:48:46.433101Z digest=sha256:3119d31df7b571f1733ea933416bd65b4bc382607d6e1f17e0532aafeeb83784

Observation a4a04e5c-ce88-46ca-a8c5-deec3cd874f4 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:46.533989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:46.533989Z digest=sha256:5f7496e8b03152f84191233e47f51ce06c922b697e590939cdda24e54737c2a5

Observation ee8d01a9-3ac1-4826-b2fc-769b427c54f6 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:49.135221Z

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=arxiv_source observed=2026-08-07T00:48:46.642284Z digest=sha256:709b78ae70f4a1ad1ca8d97f8ab9f7b714625ecd171238917ca35279fed8689c

Observation 8f92e1f3-3005-440c-9fc2-3400021ea435 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:48.922946Z

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=arxiv_source observed=2026-08-07T00:48:46.711160Z digest=sha256:39e5730a11461fa055f5ddfa332bdcedfd8602c5537eea6327024d8e1a1bb8b1

Observation a37fa7c7-fe41-45c2-bf60-de10f7fc1f90 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:48.717109Z

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=arxiv_source observed=2026-08-07T00:48:46.807028Z digest=sha256:7437b645fc1cd1d1c6cb6dfa664103582e8ad10efa83938d4ec1ee6f428ebdb9

Observation 98ccfc40-efcb-4394-b6b2-aeed0f5cda67 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:46.936557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:46.936557Z digest=sha256:dd50aa05c4165996a09cf995a40c92d778bd116023d15699476ff6dbd632bcf2

Observation 9ab882bf-cac4-4859-9138-db37e8f51674 · outbound

This paper cites Weakly Supervised Detection of Hallucinations in LLM Activations.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Weakly Supervised Detection of Hallucinations in LLM Activations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.046624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.046624Z digest=sha256:3a9e261ca1404e43105c608f59208dcd3835405930fca578b2e2a1d2c38a4f0b

Observation beb4d1e1-17e0-4eda-bae2-77fbcecdd07c · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.156995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.156995Z digest=sha256:15b15df428b82f335c6f9e486cabe0bf691f39480113af4792ca7a497a00b207

Observation 2bc5f467-6a08-4911-82d1-12ae87e13de9 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.257771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.257771Z digest=sha256:751dd1e71ad6e50548562319d948477dda6b7c26a826ce96acc253940a43a4be

Observation 73033317-5f3b-4800-976f-a512bce11989 · outbound

This paper cites an unresolved cited work.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:48:48.484558Z

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=arxiv_source observed=2026-08-07T00:48:47.368196Z digest=sha256:380454d7471569d859c9fb1f68ede5659c5b99f5137ca762252955e9596ea6fa

Observation c242fb8c-c011-44dc-a856-faea2a18b401 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents Improving Text Embeddings with Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.509771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.509771Z digest=sha256:04b476d1dd98283f99c3f9545d89d26297d927826348ff8f8e01f634a556d61c

Observation 151eaf78-19d9-4de9-9d23-1933fd24385e · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents C-Pack: Packed Resources For General Chinese Embeddings

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.610230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.610230Z digest=sha256:9a9e38d52b5525a10833f9a43fbf08bcf6913be9c1cd1044fe7a887ef42abbfb

Observation b4837ce1-3116-4004-9982-05cf749bada3 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.684944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.684944Z digest=sha256:3822e7d0bd2da5afae31583a89a991a2aa2bbbf084022d6dae796d75e1719346

Observation 8f1bc7fe-9c5f-485a-a9a8-4547d9e43b91 · outbound

This paper cites InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:48:48.174733Z

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=arxiv_source observed=2026-08-07T00:48:47.767344Z digest=sha256:0666dbb1cf1b5c72889843d8bb6641ba94e247654463fd2e47fd0edf84dd1d7a

Observation 5d412c3a-d229-4689-894a-604b3039e97c · outbound

This paper cites online" 'onlinestring :=.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents online" 'onlinestring :=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.904805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.904805Z digest=sha256:f63df7bda829532cff033020efff43750941accf6d0a11eba9daf186a557ba8f

Observation ebd3bd59-0ac5-4b77-b9ae-d0aea335fcf3 · outbound

This paper cites write newline.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents write newline

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:47.987079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:47.987079Z digest=sha256:8bb7684bb971fb77b86a707e4bcdefa5ebb10ff9773c7f8050a869f988b16f01

Pith citing papers

No inbound Pith citation observations are available.