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Paper Citation Record · LEDGER

LLM2Vec-Gen: Generative Embeddings from Large Language Models

As of 24 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2603.10913.

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

pith.paper-citation-record.v1
2603.10913 v3

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:28:28.726814Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd55efc8-e536-413f-b48f-5c4f7f5bfdfd · outbound

This paper cites Raghuveer Thirukovalluru and Bhuwan Dhingra.

LLM2Vec-Gen: Generative Embeddings from Large Language Models Raghuveer Thirukovalluru and Bhuwan Dhingra

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T18:28:28.448952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.448952Z digest=sha256:cea04dd8ab38e199fcb6078b84dca825df2e9080422c1a2605f5a3cadfdbe26d

Observation 0b4250cd-844c-437f-a640-90a2a9161250 · outbound

This paper cites Ada Defne Tur, Nicholas Meade, Xing Han L `u, Alejandra Zambrano, Arkil Patel, Esin Durmus, Spandana Gella, Karolina Stanczak, and Siva Reddy.

LLM2Vec-Gen: Generative Embeddings from Large Language Models Ada Defne Tur, Nicholas Meade, Xing Han L `u, Alejandra Zambrano, Arkil Patel, Esin Durmus, Spandana Gella, Karolina Stanczak, and Siva Reddy

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T18:28:28.551632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.551632Z digest=sha256:23b3b5f49bcee3aa94f053058b46772559ac8b0d4786249a06b7d2b522b9138c

Observation b21ee26f-0a28-4b53-bad4-909d040b794f · outbound

This paper cites Qwen3 Technical Report.

LLM2Vec-Gen: Generative Embeddings from Large Language Models Qwen3 Technical Report

Reference 642

Resolution
malformed identifier
no resolver link, observed 2026-08-02T18:28:28.639447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.639447Z digest=sha256:ae31e43b0d638b819872767964126fcb1b26862bde1c607ce386dd8497919373

Observation aa50bbd4-6db9-4b1a-a608-e990ecf575f0 · outbound

This paper cites [...] Table 13: Analysis of Qwen-3-4B responses to example questions, when trained with LLM2VEC-GENwith and without theL recon.

LLM2Vec-Gen: Generative Embeddings from Large Language Models [...] Table 13: Analysis of Qwen-3-4B responses to example questions, when trained with LLM2VEC-GENwith and without theL recon

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-02T18:28:28.726814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.726814Z digest=sha256:9b407c6a7d2d903eaee3507c5e1dab8871ebf13497ba8bde34135f42dc4b07ef

Observation 6498e46c-9a47-4889-bb9c-75c96c59df7e · outbound

This paper cites doi: 10.18653/v1/2021.emnlp-main.552.

LLM2Vec-Gen: Generative Embeddings from Large Language Models doi: 10.18653/v1/2021.emnlp-main.552

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T18:28:27.931251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:27.931251Z digest=sha256:f9568d258515b6995b65dda9049adf0930aa448d2c7468bc6f7b260546ea6845

Observation acac2bf2-7ebc-4628-b7a9-f60b6f818dbe · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

LLM2Vec-Gen: Generative Embeddings from Large Language Models Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 2025

Resolution
malformed identifier
no resolver link, observed 2026-08-02T18:28:28.261689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.261689Z digest=sha256:3751d7d60579c04fe1d775d076767c939050224b8ca5b744f086458f7062922a

Observation 4e69d7b8-250a-420c-b4d5-433a36d43b7b · outbound

This paper cites LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs.

LLM2Vec-Gen: Generative Embeddings from Large Language Models LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T18:28:28.137268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:28:28.137268Z digest=sha256:86608fe3a50f04815734523db1e97c27d283fe1207917487b81bde595f879538

Pith citing papers

No inbound Pith citation observations are available.