Paper Citation Record · LEDGER

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 15 inbound Pith citation observations for arXiv:2501.01028.

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

pith.paper-citation-record.v1
2501.01028 v4

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:47.918193Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:16:34.420783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.692936Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy1
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 143a9728-1ae8-4834-a9d7-1a9d12a02934 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.874056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23766ee4-ac2d-4c9f-9460-8cf534c2f975 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.884721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c035f5fa-764a-4f68-81b1-475495431f5e · outbound

This paper cites URL https://doi.org/10.18653/v1/ 2024.naacl-long.426.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://doi.org/10.18653/v1/ 2024.naacl-long.426

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.907422Z

Source-reported events for the cited work

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Observation cd2c88e5-ec15-4772-871b-cfd6d456bfdd · outbound

This paper cites URL https://doi.org/10.18653/ v1/2023.findings-emnlp.165.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://doi.org/10.18653/ v1/2023.findings-emnlp.165

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T22:40:47.958640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d373052-ec16-4f77-8daf-6e109cc07545 · outbound

This paper cites URL https://doi.org/10.18653/v1/d18-1259.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://doi.org/10.18653/v1/d18-1259

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.914508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e0d7aa-11e2-4574-9f06-66941fef7b0b · outbound

This paper cites FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.918193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0db6e9-0008-4374-a93c-71a1c499e661 · outbound

This paper cites URL https://aclanthology.org/ C18-1166/.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://aclanthology.org/ C18-1166/

Reference 1962

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:40:48.333400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 779f62a1-fc82-4ee7-a71b-5579abc82434 · outbound

This paper cites Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training

Reference 1972

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.888721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9294496a-2100-494e-a5eb-05f8d19e5885 · outbound

This paper cites URL https://doi.org/10.1145/2623330.2623677.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://doi.org/10.1145/2623330.2623677

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.877477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e36dd25b-b3b2-4aaa-a5fa-b698bd0aa2bd · outbound

This paper cites MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.865975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438c34d5-5b30-4e6d-8f2b-004a3dc54225 · outbound

This paper cites PL-MTEB: Polish Massive Text Embedding Benchmark.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model PL-MTEB: Polish Massive Text Embedding Benchmark

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.903584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d566fe78-6ad6-44dc-903d-bd183d1b2145 · outbound

This paper cites mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.861395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22704ed-64e8-4dac-a459-035f67486f0c · outbound

This paper cites URL https://doi.org/10.1145/3477495.3531736.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model URL https://doi.org/10.1145/3477495.3531736

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.896044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5107a8ad-a9fc-4224-8cf9-e1c38cbb5b52 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.880935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37582ba4-4a56-4f7b-bd8c-2fdac95c5c22 · outbound

This paper cites Generative Representational Instruction Tuning.

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model Generative Representational Instruction Tuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:47.899668Z

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Pith citing papers

Observation 8baad1d7-ef72-4846-9488-5bbfd32f962d · inbound

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels cites this paper.

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:39.256099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3157a8ee-dae1-46d2-ab01-50b2e3978033 · inbound

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models cites this paper.

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:09.982953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544ec4d7-d29e-478d-b8b5-7725bc20d117 · inbound

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension cites this paper.

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:46:56.276803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63024424-68c5-4154-9e41-0222f7175e8e · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:30:00.499827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45011676-9391-44af-a419-126e767f7703 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-02T18:20:56.863790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1626f639-7bc7-4e3a-8f4d-c651771c6648 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-04T05:49:08.485206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33f3527-5de8-450f-90b7-cd49067da473 · inbound

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval cites this paper.

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:15.604052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6a72cb1-5f44-49b0-98cc-bac044360334 · inbound

Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance cites this paper.

Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:24:40.837100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62b52f59-d2ce-47b3-b144-c14aacaed6e7 · inbound

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering cites this paper.

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:14:45.790437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b78308c4-0be8-466d-92d3-1e4758389dd8 · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.853098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc75e933-c1a3-4ed4-a372-5320bb3ae7cd · inbound

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia cites this paper.

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:26.934068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e20dd02-82df-482b-953b-657e525de529 · inbound

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning cites this paper.

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:17:34.953131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8416a26-ea45-4cf9-b606-37d9be3adf17 · inbound

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking cites this paper.

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:19:47.694323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30c13d16-99c7-4b77-a8d9-0f3e70ccd862 · inbound

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking cites this paper.

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T12:48:54.633720Z

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Observation 8a56f043-1a1d-424c-b117-8fd3bc998e03 · inbound

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models cites this paper.

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T20:16:34.420783Z

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Unavailable: canonical work link unavailable.