Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T14:55:01.461263Z
Paper Citation Record · LEDGER
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication
As of 1 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.01601.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact2
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ccdaa5bb-2c7f-417d-9df2-1b21e723ee90 · outbound
This paper cites Deduplicating training data makes language models better,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Deduplicating training data makes language models better,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.110162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 8cb3ff0d-32b6-4d26-8e39-8da77539c3d5 · outbound
This paper cites Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.431573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation ff9dd30a-140b-4017-a939-945bf0fe70f5 · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.429099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 80f28b9b-dbf7-4bd4-bff8-1c94314f4e50 · outbound
This paper cites A unified inference optimization framework for qwen3-vl-2b- instruct.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication A unified inference optimization framework for qwen3-vl-2b- instruct
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.108208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 5a9355f5-9278-49e6-9e81-c2d20314dd4b · outbound
This paper cites Dolma: An open corpus of three trillion tokens for language model pretraining research,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Dolma: An open corpus of three trillion tokens for language model pretraining research,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.112153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation dc129b16-6bfa-477c-a93b-81fc47122c90 · outbound
This paper cites Coil: Revisit exact lexical match in information retrieval with contextualized inverted list,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Coil: Revisit exact lexical match in information retrieval with contextualized inverted list,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.091874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 11d84dad-e375-491d-b0ed-f3fcc6993429 · outbound
This paper cites Colbertv2: Effective and efficient retrieval via lightweight late interac- tion,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Colbertv2: Effective and efficient retrieval via lightweight late interac- tion,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.100990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation d14a07ea-0697-4e4d-8a38-63828bd36055 · outbound
This paper cites Simcse: Simple contrastive learning of sentence embeddings,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Simcse: Simple contrastive learning of sentence embeddings,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.104441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 1dfce930-6a19-45ca-8e2b-1fe37a4eec6b · outbound
This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Judging llm-as-a-judge with mt-bench and chatbot arena
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.097276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 8f368e04-3541-433e-96ea-8af9e5432c82 · outbound
This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication G-eval: Nlg evaluation using gpt-4 with better human alignment
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.095265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 2855dc5a-ccc8-4457-81d4-c9192c10551d · outbound
This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.099072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation f36d8feb-f957-4960-b33c-4029b66d4c2f · outbound
This paper cites Prism: Pipeline for root-cause investigation via specialized multi-agents,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Prism: Pipeline for root-cause investigation via specialized multi-agents,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.102786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 3df2a1c9-0469-492e-bc94-ef99106b3ddb · outbound
This paper cites Dynarag: Bridging static and dynamic knowledge in retrieval-augmented genera- tion,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Dynarag: Bridging static and dynamic knowledge in retrieval-augmented genera- tion,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.106452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation ddaefa33-dd35-4606-92e0-8dfd10acfdb9 · outbound
This paper cites Pyramid convolution and bidirectional graph attention for cyber threat detection from unstructured text,.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Pyramid convolution and bidirectional graph attention for cyber threat detection from unstructured text,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.113883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 2e5749a1-58b5-4f31-b766-a03cbfd562ff · outbound
This paper cites Roofline-guided mixed quantization and kernel co- optimization for efficient large language model inference on arm cpus.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication Roofline-guided mixed quantization and kernel co- optimization for efficient large language model inference on arm cpus
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:40:46.093545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Pith citing papers
No inbound Pith citation observations are available.