Pith. sign in

Paper Citation Record · LEDGER

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.00288.

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

pith.paper-citation-record.v1
2311.00288 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:59:28.283639Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:40:54.165763Z

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 b49f16de-036e-491f-aeae-85901070894b · inbound

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis cites this paper.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T11:59:28.283639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:59:28.283639Z digest=sha256:aa08c4ebe0886e41f8fcdd657ba3e129297a9985a8faab6b89d95063ac3a1876

Observation ad1bb8dd-a419-49d5-a052-79b6907e913d · inbound

Error-driven Data-efficient Large Multimodal Model Tuning cites this paper.

Error-driven Data-efficient Large Multimodal Model Tuning Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:31.770888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:31.770888Z digest=sha256:297c24937943ba4d9e1a3e3c625ca3062a83b8cbafc057e04aa8ea081ccb3e3b

Observation cda68eb6-0ee7-4bd8-8449-7038dbe71fa3 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:11.432002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:11.432002Z digest=sha256:d9a9ea3906b3d3164bbeb37c7113560ef6f53795981d8a819689d0cf94506570

Observation fe18394b-9268-4818-ab66-ef9fdf02e84d · inbound

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs cites this paper.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:43.767768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:47:43.767768Z digest=sha256:45420e2dc740db61db8758b0a8fa3b5b0435c3a0c4a5a547ef3520aedfad4870

Observation ee4c0153-0006-484a-960e-22680ce50e4b · inbound

ART: Adaptive Relation Tuning for Generalized Relation Prediction cites this paper.

ART: Adaptive Relation Tuning for Generalized Relation Prediction Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:40:54.170138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T10:40:53.901540Z digest=sha256:3cc577a916b350c9d07bc27bb961bf66691c14d62abddf0e0d89443d7ccd5eb9