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Paper Citation Record · LEDGER

LLM2Vec-Gen: Generative Embeddings from Large Language Models

As of 8 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 2026-08-08T06:32:00.761636+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

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=sha256:64af061cc1bd7066a757eb4df20cffa519c1393bdb1a8bef5afced2564af7c8b

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:de15fdf1bc539967914207877b917acfd2a0c860c79d4b986597a0567af7bb73

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=sha256:3988a4c67a708c073b74345dff783dde50c6e3953533f91675048ef5ac6f4da8

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=sha256:01d06e5bbd03d2d60e03ec17533a74d0e5d32f652f4d268d08b4be6c2378722c

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:efad32d6ca5acbd9521babb49fbeb7ecdd062f13bc5560a855f9c79990a2460e

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=sha256:6575df309f61b131f903d801881b199b6380b68f3f4eec54f000d7698553b5c8

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=sha256:01a5097dc65ecc6dc6dd6fc22dea7671dac4ef6c9302b033e180a209af81c778

Pith citing papers

No inbound Pith citation observations are available.