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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=sha256:9f5ef36198dbbc7bb80f63ea42ae4725aba7afc31795fb8d7f0a7f5166a6a612

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=sha256:53e08d33b8427d66d6e633ebffd91f198c566c5131c57955773ef82ee0a83bf6

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:d4635ed4a676a848ec07fbd173e3752714b7e146b3e19ab91de408b6daf53683

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=sha256:6f293cdfa230ca5ea41acbaf9fcdf208890bf5f2aa1d45cbb920f154b07a4a58

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=sha256:0f947ce836cde7fdeb8f8bfb235da79b89cfadae8d2348c3df6dc6b448c899f7

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=sha256:1b4d75a2ca336e56685595ce16ec16e378d97dde47c7a0a32648d2ca22a2a6e0

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=sha256:7ac444ed09305cab2885acc4883f2b6798772f69453cd66ed7638f7a64c40967

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:a53a660b779da8a22210e96ba03409a4a549103a53a8c1620a37121dc76a5294

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=sha256:4caa47fe25a95a16c682ce96af1c0a7dd088300bae6afa1373bf25409a0bfa41

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:c437d631e9edf5c3c8f3e0048f24b30451a434a043e81976a9c78123a284b020

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=sha256:4792b8b4457f97aea9587216a6d44296a5a6dcdfc5d1243402de5346ec55dd1d

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=sha256:5f8796027d76507521c24676781b4a3ea9bd66a8c9efd712e32aaf5e71d26882

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=sha256:47c2606f95c2750ef4891b81237239e41dbad8d6eeabcde6378e3c1d4af9ecbc

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:aaf5a0f3c2c5b9938e794f79548a2596e723a1971d034098952147844e323987

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=sha256:4b31681dd5f65b45d86400822060fd8801d666baa2b8cd5eedda29dad852c7ba

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=sha256:53d1fdba8290b06b0aabc5ec996b20762e87669a9e5a8fc06163acf0cba6dfc0

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=sha256:839e6dfc62bc9512fc5fb1a93b12e96f5bd5db59ecc5405ac2719e610e7f7efe

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=sha256:64bac0d6bf19a4eae2a383fe95de8611c70943c266ee0359ffe13986b18108d1

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=sha256:53ee31254027b21b420ac90c7cb67b7680f43a534293dbe20f159fdcac8dc7e9

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=sha256:0f43d2ff1039b8c6f44ddad02b011be18d3c7312d4c00654d945d5bf5d5269b7

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=sha256:8a415cfe00fd9d6aef8b891416ea94caef70a64af1e92de5a028aa0c4b2eef05

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=sha256:27b79b90a47a39e2adfb6eaf4a556b57e0e306229c40c17879fa634d2888311e

Pith citing papers

No inbound Pith citation observations are available.