Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.15035.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:35:47.354576Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:36:21.302852Z
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 f261beca-b4a2-42c2-9cd4-a32df2604490 · inbound
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs cites this paper.
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:35:47.354576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88521af5-2839-4b64-97ff-220a10011460 · inbound
LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.
LLMs are Also Effective Embedding Models: An In-depth Overview Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:59:01.729143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091e1f3e-f137-4428-a005-1b4f0019ba15 · 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 Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:18:25.074209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d36fcee7-4fe4-4c01-a6c3-e60cfb2ec889 · inbound
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking cites this paper.
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:36:21.306617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9600c224-e067-494a-a2a2-0fa31776251b · inbound
Domain-Aware Scaling Laws Uncover Data Synergy cites this paper.
Domain-Aware Scaling Laws Uncover Data Synergy Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:24:27.255815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.