Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.12816.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T22:02:30.217607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T22:05:05.680300Z
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 08c17339-7a2a-4914-bea0-c8c48e50a0ae · inbound
A Survey of Large Language Models cites this paper.
A Survey of Large Language Models Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Reference 255
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:46:40.525966Z
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.
Observation 09df0746-cbba-470f-90f0-92986c1ea0be · inbound
Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder cites this paper.
Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.892708Z
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.
Observation 44aefc43-7c9e-43c9-9b04-aa8fcacf0e54 · inbound
SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.
SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T22:05:05.681804Z
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.