Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:55:17.746493Z
Paper Citation Record · LEDGER
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach
As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.20019.
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 2026-08-18T06:34:40.430872+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
26 of 26 outbound references displayed
- verified exact2
- verified fuzzy13
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b0e1ab63-7569-411a-954c-23cd4d4b6257 · outbound
This paper cites $p=0.25$), sample two different domains $A$ and $B$.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach $p=0.25$), sample two different domains $A$ and $B$
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:22.039663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c1b961b2-dc9c-419d-bb33-bd5df81e2c6c · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:21.629122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 187d9345-12f3-47ef-8c00-2e4bcf334655 · outbound
This paper cites If $A=B$ (intra-domain case), ensure that support+query sampling includes at most $n_a$ anomalies and majority normal, as per the anomaly rate.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach If $A=B$ (intra-domain case), ensure that support+query sampling includes at most $n_a$ anomalies and majority normal, as per the anomaly rate
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:21.404638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0713314c-86a1-4001-85a4-0a28e8d2a698 · outbound
This paper cites For each, shuffle the normal and anomaly examples (the model doesn’t know which is which a priori).
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach For each, shuffle the normal and anomaly examples (the model doesn’t know which is which a priori)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:21.132741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5924c57-fae5-4915-adfc-e3cb2313a34a · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:20.962388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4b95d05-bdbf-4ae8-874d-0225fd1fd8b8 · outbound
This paper cites potential anomalies.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach potential anomalies
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:20.776510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1394da15-3cf7-4de7-99bc-39190d204c4d · outbound
This paper cites see you at noon at the cafe.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach see you at noon at the cafe
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:20.637433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 41518788-e405-4daa-a744-0f6188401782 · outbound
This paper cites Sunshine Holla! Get cash now.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Sunshine Holla! Get cash now
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:20.442729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 72290056-5b57-4ff8-8046-1d80cdf437cd · outbound
This paper cites This is a promising outcome for real-world applications.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach This is a promising outcome for real-world applications
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:20.256679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 620ec26e-91b4-451e-aa04-56fae272e18d · outbound
This paper cites learn to detect anomalies.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach learn to detect anomalies
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:20.084314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f15110f1-8324-41e1-9e7b-d905c7d288f3 · outbound
This paper cites A., Hidalgo, J.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach A., Hidalgo, J
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:19.898331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b2a9d7b0-2df6-4fb1-ba8d-a4e1435eb311 · outbound
This paper cites D., Basak, A., & Dutta, S.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach D., Basak, A., & Dutta, S
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:19.732432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cef8382f-81c2-4948-ba4b-4738f893290e · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:19.565628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97d2b791-e14c-402d-a005-1dfd2407727c · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:19.404676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8d3bd28a-4caf-4288-b4dc-28f3bafc06da · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:19.244770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9a58dc4-8d85-4f05-9a61-a458a7dabb56 · outbound
This paper cites TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:55:18.022991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ddc42571-2120-4454-b572-2c7ef78823d0 · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:19.123520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc981fa6-f798-40d8-8472-16102f962957 · outbound
This paper cites Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:55:17.901540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0068b5ea-2cfd-4933-a6ed-b9abae8a026a · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:18.962902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d78e5a1-71e9-4606-9500-63c9c06cc069 · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:18.448943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1be5aa4b-975b-4540-b707-89adb507c2f8 · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:18.359827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1bbc14f0-03f7-4340-8a97-781c986b2cdc · outbound
This paper cites These should closely match the values in Table 2 of the paper (allowing for minor randomness).
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach These should closely match the values in Table 2 of the paper (allowing for minor randomness)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:18.262596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab81df4b-70bf-4ad3-8eea-9d4f43a1968b · outbound
This paper cites label" (with values.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach label" (with values
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:18.144634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce81c4f4-5946-4c30-b8d2-cf829229b121 · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:18.827227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 55c9edaa-39fc-4087-ab46-716df79beb07 · outbound
This paper cites an unresolved cited work.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:55:18.693345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d138744-73ae-4455-bef4-2f2bc71a235b · outbound
This paper cites Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach.
Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:55:18.569939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.