Paper Citation Record · LEDGER

Making Text Embedders Few-Shot Learners

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2409.15700.

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

pith.paper-citation-record.v1
2409.15700 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:46:41.695812Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T20:00:08.958984Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3a59434a-1453-4b10-8ac7-aa126dc4b4ab · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Making Text Embedders Few-Shot Learners

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:15:16.287662Z

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.

Observation 88c30572-01a8-425b-ac37-a159e975845d · inbound

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts cites this paper.

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts Making Text Embedders Few-Shot Learners

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T13:46:41.695812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b5575e-5866-4efe-b4dc-8f9058580984 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Making Text Embedders Few-Shot Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.258666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c6dcad-eb4a-41d6-acc0-55c6665bc2e7 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Making Text Embedders Few-Shot Learners

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.263284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8fa670e-6209-4cfb-91b2-e84004778bbf · inbound

ExpeTrans: LLMs Are Experiential Transfer Learners cites this paper.

ExpeTrans: LLMs Are Experiential Transfer Learners Making Text Embedders Few-Shot Learners

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:52.287436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c8b644-671b-4c8b-8ca2-430cb318ca79 · inbound

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing cites this paper.

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing Making Text Embedders Few-Shot Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:03.812898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50fed3e8-e022-49de-bea6-3cc9a33da9da · inbound

Preference-based learning for news headline recommendation cites this paper.

Preference-based learning for news headline recommendation Making Text Embedders Few-Shot Learners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:57.413913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad051a3-5275-4b4c-9460-124285a71c78 · inbound

HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval cites this paper.

HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval Making Text Embedders Few-Shot Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:04.181667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a226d8a-f24e-4864-afe1-026424c0a894 · inbound

LGAI-EMBEDDING-Preview Technical Report cites this paper.

LGAI-EMBEDDING-Preview Technical Report Making Text Embedders Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:11.288837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79da6bf5-d858-4f4e-b269-238024216240 · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning Making Text Embedders Few-Shot Learners

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:24.811571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944ee9ab-9535-4182-b03d-9687e14825e6 · inbound

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed cites this paper.

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed Making Text Embedders Few-Shot Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:43.657209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc54169-f612-455b-bbcd-8a7f21a2cac2 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Making Text Embedders Few-Shot Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:45.821331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4a02f4-c59e-4e2f-9435-67ecd5e8c28d · inbound

Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval cites this paper.

Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval Making Text Embedders Few-Shot Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:34:04.467455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd139a35-b3bc-4ad3-9471-01a976ed7d30 · inbound

Hierarchical Memory Organization for Wikipedia Generation cites this paper.

Hierarchical Memory Organization for Wikipedia Generation Making Text Embedders Few-Shot Learners

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:48:57.899288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c787e5ce-be24-48bc-b248-5e61361b84aa · inbound

Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking cites this paper.

Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking Making Text Embedders Few-Shot Learners

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:46:11.351840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09ae5a4-ffd1-452e-9cbb-dab7f4086158 · inbound

QZhou-Embedding Technical Report cites this paper.

QZhou-Embedding Technical Report Making Text Embedders Few-Shot Learners

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:11:07.847407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6966f08c-fcbb-4535-8724-00126c4b8e81 · inbound

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings cites this paper.

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings Making Text Embedders Few-Shot Learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:16:26.782500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab312e99-1c69-4891-a318-2e83189e8551 · inbound

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval cites this paper.

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval Making Text Embedders Few-Shot Learners

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:51:08.618702Z

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.

Observation ba8e4282-9006-46a1-ab34-57eae25ef53c · inbound

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval cites this paper.

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval Making Text Embedders Few-Shot Learners

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:11:12.388088Z

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.

Observation 06b28af2-9054-48db-95c6-4838ed8f0034 · inbound

Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.

Test-Time Compute for Frozen Embedding Models through Agentic Program Search Making Text Embedders Few-Shot Learners

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:15:46.596236Z

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.

Observation 05d4fe3d-c6df-4087-ad08-f6a2a14da511 · inbound

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks cites this paper.

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks Making Text Embedders Few-Shot Learners

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.947263Z

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.

Observation 84f616bc-b521-4114-93a9-841e8c8ad519 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings Making Text Embedders Few-Shot Learners

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:00:08.961337Z

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.

Observation c55050a8-2572-4fd9-8736-8cceb5fa2231 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings Making Text Embedders Few-Shot Learners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T10:15:53.765204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.