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Paper Citation Record · LEDGER

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance

As of 5 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.25486.

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

pith.paper-citation-record.v1
2605.25486 v1

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measured 52 of 52 reference resolution

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation b5a7359a-2e26-4f11-9172-9264422bac24 · outbound

This paper cites an unresolved cited work.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Unresolved cited work

Reference 1

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Observation 3d78e591-786b-4a72-bcb1-608534e2afb9 · outbound

This paper cites A language modeling approach to information retrieval,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance A language modeling approach to information retrieval,

Reference 2

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Observation 1e753904-7226-429a-8c8b-9e0d74f1b0e3 · outbound

This paper cites The value of semantic parsing for the QA task,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance The value of semantic parsing for the QA task,

Reference 3

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This paper cites Poly-encoders: Architectures for real-time strategy game state encod- ing and multi-segment matching,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Poly-encoders: Architectures for real-time strategy game state encod- ing and multi-segment matching,

Reference 4

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Observation d402897c-b27d-49cb-b76b-bdc8e0034a73 · outbound

This paper cites Robertson and H.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Robertson and H

Reference 5

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Observation feb023ed-5db7-468e-8af6-ddf85fa50294 · outbound

This paper cites Sch¨ utze, C.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Sch¨ utze, C

Reference 6

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Observation bacb33a3-a9a0-420c-8917-2de2f3072428 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Observation f074d7e2-61a0-4a43-b8ee-2460d91d6d40 · outbound

This paper cites Is Chat- GPT good at search? investigating large lan- guage models as re-ranking agents,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Is Chat- GPT good at search? investigating large lan- guage models as re-ranking agents,

Reference 9

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Observation 6d98cae9-308f-464e-a7fb-22134a6e9f20 · outbound

This paper cites InPars: Data Augmentation for Information Retrieval using Large Language Models.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance InPars: Data Augmentation for Information Retrieval using Large Language Models

Reference 10

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This paper cites Faithful chain-of-thought reasoning,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Faithful chain-of-thought reasoning,

Reference 11

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Observation 947964c4-942c-459f-b1ab-4538e43d4133 · outbound

This paper cites Survey of hallucination in natural language generation,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Survey of hallucination in natural language generation,

Reference 12

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Observation 8221523d-1d1e-432c-91ea-d58bca1023b3 · outbound

This paper cites Large language models are not fair evaluators,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Large language models are not fair evaluators,

Reference 13

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This paper cites Available: https://aclanthology.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Available: https://aclanthology

Reference 14

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Okapi at TREC- 3,

Reference 15

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Observation e0a85bf7-d5ab-4cba-b9b0-f180723057a4 · outbound

This paper cites The proba- bilistic relevance framework: BM25 and be- yond,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance The proba- bilistic relevance framework: BM25 and be- yond,

Reference 16

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Observation 5a3b83de-aebd-4ca5-bc52-e6d84419434f · outbound

This paper cites Learning deep structured seman- tic models for web search using clickthrough data,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Learning deep structured seman- tic models for web search using clickthrough data,

Reference 17

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Observation 66e9129c-6f9d-4f12-ab79-90fc40a971ea · outbound

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance A latent semantic model with convolu- tional pooling for information retrieval,

Reference 18

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Observation 3c464606-0b4b-4cba-a821-d9de5f66bd4c · outbound

This paper cites A deep relevance matching model for ad-hoc re- trieval,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance A deep relevance matching model for ad-hoc re- trieval,

Reference 19

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Observation 5e135f5b-add2-440a-9431-08091abd9c86 · outbound

This paper cites Text matching as image recogni- 19 tion,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Text matching as image recogni- 19 tion,

Reference 20

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Stacked attention networks for image question answering,

Reference 21

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Observation 98d8d1fb-6f0a-4696-bff5-9e9c74b7e37d · outbound

This paper cites A thorough examination of the CNN/Daily Mail reading comprehension task,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance A thorough examination of the CNN/Daily Mail reading comprehension task,

Reference 22

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Passage Re-ranking with BERT

Reference 23

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This paper cites URL http://dx.doi.org/10.1145/3331184.3331303.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance URL http://dx.doi.org/10.1145/3331184.3331303

Reference 24

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Observation 4f8485b6-ed60-45e2-957d-7a29e8a398ab · outbound

This paper cites ColBERT: Effi- cient and effective passage search via contextual- ized late interaction over BERT,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance ColBERT: Effi- cient and effective passage search via contextual- ized late interaction over BERT,

Reference 25

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance SPLADE: Sparse lexical and expansion model for first stage retrieval,

Reference 26

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Observation df471e5c-6fe9-4419-81b2-4cd22fb63fb3 · outbound

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Lan- guage models are few-shot learners,

Reference 27

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Explor- ing the limits of transfer learning with a unified text-to-text transformer,

Reference 28

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This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 29

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Observation bfa3393e-7287-4b49-b59b-d4290a6d1a2f · outbound

This paper cites Making pre- trained language models better few-shot learn- ers,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Making pre- trained language models better few-shot learn- ers,

Reference 30

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Scaling Instruction-Finetuned Language Models

Reference 31

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Observation 08295d87-659e-4d11-8379-8b4c36294460 · outbound

This paper cites Is ChatGPT good at search? investigating ChatGPT as a re- ranker with progressive stacking,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Is ChatGPT good at search? investigating ChatGPT as a re- ranker with progressive stacking,

Reference 32

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Task-aware retrieval with instructions,

Reference 33

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RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Reference 34

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Observation 2b7aa9aa-ded0-4942-a311-63e287c4c3a8 · outbound

This paper cites RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine

Reference 35

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Observation 50ba5795-915e-4991-bdbd-adc3920293b7 · outbound

This paper cites ACM Trans.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance ACM Trans

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5de851d3-b18e-4425-8580-fb0df7ebd58d · outbound

This paper cites Retrieval-augmented generation for large language models: A survey,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Retrieval-augmented generation for large language models: A survey,

Reference 37

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Source-reported events for the cited work

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Observation 9c60ca38-9ed4-4b2e-8f63-c374d724d96f · outbound

This paper cites Chain- of-thought prompting elicits reasoning in large language models,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Chain- of-thought prompting elicits reasoning in large language models,

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:f5725204bfc1dd7b783b2d2db671208bd5e88c6b47fc8202b19940d38d0a8ee3

Observation e5e3f34c-1659-4f8d-b461-2594c89ada58 · outbound

This paper cites Beyond yes and no: Improving zero-shot LLM rankers via scoring fine-grained relevance indicators,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Beyond yes and no: Improving zero-shot LLM rankers via scoring fine-grained relevance indicators,

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:c6119147c26ae9b40a793586b1a6bcf58f54247f069d9f22cdce3e5381627296

Observation dcde3ef3-a00f-4d65-8ab9-51070ba303a0 · outbound

This paper cites Lref: A novel llm-based relevance framework for e-commerce search,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Lref: A novel llm-based relevance framework for e-commerce search,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:f5093ab131af336ec488f7d941880ef5c35687af0e17550b67484bebf22600e2

Observation 0f53a0cb-34b4-4091-8ee1-d57ebd891e6c · outbound

This paper cites Adore: Au- tonomous domain-oriented relevance engine for e-commerce,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Adore: Au- tonomous domain-oriented relevance engine for e-commerce,

Reference 41

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source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:8c436935e18dfbfdf9eedc4d5b9b6bb4a2e0c486b10d85d6be82247317e8033e

Observation d9d274b2-32b2-4990-a610-894e2880bb6c · outbound

This paper cites Lore: A large generative model for search relevance,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Lore: A large generative model for search relevance,

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-29T20:53:58.020934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:b4b12d5ecd9185291686961d399a4afe3c227fafbe7131c234b733686b76554f

Observation c829d3ad-2c98-4637-9164-bc8f7791738e · outbound

This paper cites arXiv preprint arXiv:2508.12365 , year=.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance arXiv preprint arXiv:2508.12365 , year=

Reference 43

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metadata mismatch
arxiv_id, observed 2026-06-29T20:53:58.020771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:872800f13d3740633ce4af9e8f2e15e7518fb20df2892f71d90b7dbcba23cbc3

Observation e054d1d0-3592-43f0-aefd-163100d9ac68 · outbound

This paper cites Optimizing generative ranking relevance via reinforcement learning in xiaohongshu search,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Optimizing generative ranking relevance via reinforcement learning in xiaohongshu search,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:41a5ad5cbc9fafb1b9e4d70b23fa565f197e326cdedacf3b5245649ea8efeb09

Observation a94164cc-7c09-4ef3-bfec-60293b67c55c · outbound

This paper cites Knowledge- driven cot: Exploring faithful reasoning in llms for knowledge-intensive question answering,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Knowledge- driven cot: Exploring faithful reasoning in llms for knowledge-intensive question answering,

Reference 45

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source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:96b0cfc503b642f9beb6c73c3b8c29f1689eb3728617c2ad54890b6f2df64d9f

Observation ea1a02f1-987a-44c7-aa1b-408eaf380b11 · outbound

This paper cites Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Reference 46

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metadata mismatch
arxiv_id, observed 2026-06-29T20:53:58.032033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:6df6550ece8fe944fabadfeb54e413990ab6f7a0c3d3cbb5ab16c857b74c7b2d

Observation 1ed2289c-d6a6-4cfb-b797-cb7276c9fb8d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Direct preference optimization: Your language model is secretly a reward model,

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:2a2a45e9638b0588904d3ab9597cb117a4a0ce109543c2efc352d7e3522f4363

Observation 77efebd6-4169-4075-88b4-342cc8393903 · outbound

This paper cites A theoretical analysis of ndcg type rank- ing measures,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance A theoretical analysis of ndcg type rank- ing measures,

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:d9c0be8dc953bab21378bcff95f551129da49c2b1b3854f8d828758b11fd73da

Observation 17d96575-0cd6-4d76-82f5-5d2d7d3ce1c0 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,

Reference 49

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source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:4a21b3018a652184a6413fb9c72833457de065ea92190e22bacd3d20b689f0eb

Observation dca1a8df-1529-485e-bf57-e59230250b7a · outbound

This paper cites Chatglm: A family of large language models from glm-130b to glm-4 all tools,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Chatglm: A family of large language models from glm-130b to glm-4 all tools,

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:3aad71a2e820175659a43f1428ad906529bee799b0554e5c449f39dd3270977a

Observation 4b0c74dd-41b7-4cd4-8fff-672e11953aa4 · outbound

This paper cites Synlogic: Synthesizing verifiable reasoning data at scale 21 for learning logical reasoning and beyond,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Synlogic: Synthesizing verifiable reasoning data at scale 21 for learning logical reasoning and beyond,

Reference 51

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source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:3962dc501a1439f54ab48be52300ff86b73307ad37fee29a889c63600714cb18

Observation 2f7659e9-fed6-4bd1-bb06-96d0ae508a5a · outbound

This paper cites SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 52

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metadata mismatch
arxiv_id, observed 2026-06-29T20:53:58.009157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:5a24ff5363bd76747a6a9c5a58d55f93f24a9660d050e666a37b3dad3763dca5

Observation 6c4d862a-8fdc-4be9-b316-4a565c2c1674 · outbound

This paper cites Qwen3 embedding: Advancing text embedding and reranking through foundation models,.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance Qwen3 embedding: Advancing text embedding and reranking through foundation models,

Reference 53

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source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:e2f8eccefb4d59590581d64d2c41da30373941aa4012785cc3ef4a63db2991c1

Pith citing papers

No inbound Pith citation observations are available.